Dynamic montage reconstruction

Information

  • Patent Grant
  • 10579903
  • Patent Number
    10,579,903
  • Date Filed
    Monday, July 6, 2015
    9 years ago
  • Date Issued
    Tuesday, March 3, 2020
    4 years ago
Abstract
Provided herein are various systems and methods for storing, accessing, and utilizing information regarding medical image montages. Further provided herein are various systems and methods of using an exam type data structure to map exam types in various formats to master exam types that may be associated with customized rules or other features. Further provided herein are various systems and methods for customizing display of items associated with medical exams based on one or more categories (for example) associated with respective items.
Description
BACKGROUND

There is a need for innovations that increase the efficiency and accuracy of interpretation of medical imaging exams.


SUMMARY

For purposes of this summary, certain aspects, advantages, and novel features of the invention are described herein. It is to be understood that not necessarily all such advantages may be achieved in accordance with any particular embodiment of the invention. Thus, for example, those skilled in the art will recognize that the invention may be embodied or carried out in a manner that achieves one advantage or group of advantages as taught herein without necessarily achieving other advantages as may be taught or suggested herein.


In one embodiment, a method of customizing display of montages comprises determining montage characteristics associated with a montage including a plurality of medical images, the montage characteristics including: an arrangement of the plurality of medical images on one or more display devices of a computing system having one or more hardware processors, display characteristics of the medical images, the display characteristics including one or more of magnification, window, level, brightness, contrast, color presentation, centering, cropping, filters, annotations, or insets, and one or more characteristics of the one or more display devices, and storing the montage characteristics so that the montage characteristics are available for use by computing systems in determining how to display the plurality of images. In one embodiment, the one or more characteristics of the one or more display devices includes a resolution of the one or more display devices. In one embodiment, the one or more characteristics of the one or more display device includes an aspect ratio of the one or more display device. In one embodiment, the arrangement of the plurality of medical images includes a number of rows and columns of medical images in the montage on the one or more display devices. In one embodiment, the arrangement of the plurality of medical images includes indications of specific locations of each medical image in the montage. In one embodiment, the arrangement of the plurality of medical images includes indications of an order that medical images of the montage are displayed. In one embodiment, the method further comprises storing an association between the montage characteristics and an exam. In one embodiment, the montage characteristics are configured for automatic use in displaying medical images on a remote computing device in response to selection of the exam for viewing by a user of the remote computing device.


In one embodiment, the method further comprises, in response to a user selection of the montage for display as a result of manual input or automated actions initiated by the user, based on stored display preferences of the user, based on manual input from the user, and/or based on stored system display preference rules, displaying the medical images of the montage in a dynamically customized manner, so that instead of the medical images appearing identically to the montage: the medical images of the montage are arranged to better fit an aspect ratio of a display monitor, the medical images of the montage are individually displayed one at a time instead of as a multi-image montage, or the medical images of the montage are displayed in some other manner, such as two at a time.


In one embodiment, the method further comprises, in response to input from a user of a first computing system for display of the montage on a first display of the first computing system, based on a comparison of an aspect ratio and/or resolution of the first display and the determined one or more characteristics of the one or more display devices in the montage characteristics, displaying one or more images of the montage on the first display. In one embodiment, a quantity of medical images of the montage and/or an arrangement of medical images of the montage that are concurrently displayed on the first display is reduced in response to determining that the resolution of the first display is less than a resolution stored in the montage characteristics. In one embodiment, a quantity of images of the montage and/or an arrangement of images of the montage that are concurrently displayed on the first display is adjusted in response to determining that the aspect ratio of the first display is different than an aspect ratio stored in the montage characteristics. In one embodiment, images of the montage are displayed on respective computing systems based on rules indicating relationships between display characteristics of respective computing systems and quantities, arrangements, and/or image characteristics for use in displaying images of the montage.


In one embodiment, a method of displaying medical images of a montage comprises determining a display environment of a computing device on which the medical images of the montage are to be displayed, the display environment including one or more of a resolution of one or more display devices and an aspect ratio of the one or more display devices, accessing montage characteristics associated with the montage, the montage characteristics including indications of a plurality of images in the montage, an order of the plurality of images, and one or more display characteristics of respective images of the plurality of images, based on the display environment, displaying one or more of the plurality of images on the one or more display devices in accordance with the montage characteristics.


In one embodiment, in response to determining that the display environment is not suitable for concurrent display of all of the medical images of the montage on the one or more display devices and/or that user or system rules indicate that not all of the medical images should be concurrently displayed on the one or more display devices, concurrently displaying only a subset of the medical images according to the order indicated in the montage characteristics. In one embodiment, a user of the computing device is provided with controls that allow movement between the medical images in accordance with the order indicated in the montage characteristics. In one embodiment, the subset of the medical images includes only a single image. In one embodiment, the subset of the medical images are displayed on the one or more display devices in accordance with rules configured to determine a layout of the subset of medical images. In one embodiment, the rules indicate associations between quantities of images to be concurrently displayed and respective display resolutions and/or aspect ratios. In one embodiment, the montage characteristics include the rules. In one embodiment, the rules are associated with a user of the computing device and/or a user group of which the user of the computing device is a member. In one embodiment, the montage characteristics further comprise one or more characteristics of a computing system on which the montage was displayed when the montage characteristics were generated. In one embodiment, the display environment is determined to not be suitable for concurrently displaying all of the plurality of images if the one or more display devices are of a resolution that is small that a resolution of one or more display devices on which the montage was created and/or the one or more display devices are of an aspect ratio that is different than the one or more display devices on which the montage was created. In one embodiment, the plurality of images includes images from a plurality of image series. In one embodiment, at least one of the plurality of images includes a cine loop of images, a DICOM series of images, or a DICOM multi-frame image.


In one embodiment, the method further comprises, in response to determining that the display environment is suitable to display the montage that was displayed when the montage characteristics were generated, displaying a montage image file comprising a snapshot of the montage as displayed when the montage characteristics were generated. In one embodiment, the display environment is determined to be suitable to display the montage if the one or more display devices are capable of displaying the montage image file at a native resolution of the montage image file. In one embodiment, the display environment is determined to be suitable to display the montage if the one or more display devices are a same resolution or higher than the resolution of one or more display devices on which the montage was displayed when the montage characteristics were generated. In one embodiment, the montage characteristics are only stored and/or used for display of the montage for montages having images from multiple image series.


In one embodiment, a method of customizing display of objects comprises monitoring selection of items for display on one or more display devices of a computing system, wherein the items include one or more documents, images, forms, and/or dialogs associated with a patient, monitoring changes in one or more of a size or position of items displayed on the one or more display devices, and, in response to detecting a change in one or more of a size or position of a particular item of the items displayed on the computing device, creating or updating item information associated with the item. In one embodiment, the item information includes a category associated with the item, a user of the computing system, one or more display characteristics of the one or more display devices on which the particular item is displayed, associations between a size and/or position of the particular item after the detected change, the category, the user, and the one or more display characteristics, wherein the associations are usable by the computing system and/or other computer systems in order to automatically adjust a size and/or position of other items selected for display that are also within the category, such that a size and position of the other items match the size and position of the particular item.


In one embodiment, the item information is further associated with a medical exam such that subsequent selection of the medical exam results in display of the particular item at the size and position stored in the item information. In one embodiment, the item information further comprises associations between one or more other items and respective sizes and/or positions, categories, users, and display characteristics.


In one embodiment, the item information further comprises an arrangement of multiple items of an exam such that subsequent selection of the exam results in display of the multiple items at the respective sizes and positions stored in the associations information. In one embodiment, the item information is stored with and/or associated with the exam. In one embodiment, the item information is stored on a network accessible device so that the item information is accessible to determine the arrangement and/or size and position of items of the exam selected on other computing systems. In one embodiment, the categories comprise documents, images, forms, and/or dialogs. In one embodiment, the categories comprise types of documents, types of images, types of forms, and/or types of dialogs. In one embodiment, the one or more display characteristics include one or more of a resolution of the one or more displays, an aspect ratio of the one or more displays, and whether the one or more displays are color or black and white.


In one embodiment, the item information further comprises associations between a second size and/or position, the same determined category, the same determined user, and a second one or more display characteristics. In one embodiment, the method further comprises, in response to selection of a second particular item for display on a display device having about the second one or more display characteristics, adjusting a size and/or position of second particular item to the size and position associated with the second one or more characteristics. In one embodiment, the display device is determined to have about the second one or more display characteristics if a resolution of the display device is less than 5% different than a resolution included in the second one or more display characteristics.


In one embodiment, the method further comprises providing a user interface on a first of the one or more display devices for selection of the particular item for display on a second of the one or more display devices having the determined one or more display characteristics such that the particular item is selected by the user interface on the first of the one or more display devices and displayed on the second of the one or more display devices.


In one embodiment, the method further comprises determining whether a second display device is within a range of acceptable characteristics for displaying the particular item according to the item information, and in response to user selection of the particular item for display on the second display device, only use the size and/or position of the particular item if the second display device is within the range of acceptable characteristics.


In one embodiment, the item information further comprises information indicating an arrangement of multiple categories of items displayed on the one or more display devices. In one embodiment, the method further comprises, in response to selection of a plurality of items for display, determining whether the multiple categories of items are included in the plurality of items and, in response to determining that the multiple categories of items are included in the plurality of items, determining a size and/or position of the plurality of items according to the item information associated with the respective categories. In one embodiment, the item information indicates respective display devices on which items of respective categories are displayed.


In one embodiment, the computing system and/or other computer systems automatically adjust a size and/or position of other items selected for display that are also within the determined category in response to determining that a resolution of the computing system and/or other computer system is about the determined resolution.


In one embodiment, a method of matching medical exam types comprises determining an exam type of an exam, accessing, by a computing system having one or more computer processors, an exam type data structure comprising associations between respective master exam types and one or more exam types selectively used by various entities, such that a first master exam type is associated with a first plurality of exam types used by one or more entities and a second master exam type is associated with a second plurality of exam types used by one or more entities, determining whether the determined exam type matches any of the exam types in the exam type data structure, in response to determining that the determined exam type matches one of the first plurality of exam types, associating the exam with the first master exam type so that any rules associated with exams of the first master exam type are automatically selected for use on the exam, and in response to determining that the determined exam type matches one of the second plurality of exam types, associating the exam with the second master exam type so any rules associated with exams of the second master exam type are automatically selected for use on the exam. In one embodiment, the method further comprises updating the exam type of the exam to include the matched master exam type. In one embodiment, the method further comprises replacing the exam type of the exam with the matched master exam type. In one embodiment, the method further comprises, in response to receiving a request for information and/or portion of the exam, replacing the exam type of the exam with the original determined exam type prior to providing the requested information and/or portion of the exam. In one embodiment, the requested information comprises a medical report. In one embodiment, the request is from an entity that associated the exam with the determined exam type. In one embodiment, the rules associated with the first exam type or the second exam type include rules for display, arrangement of various types of items within an exam, transfer, security, or viewing rights, associated with the corresponding exam. In one embodiment, the method further comprises, in response to not matching the determined exam type to any of the exam types in the exam type data structure, prompting a user of the computing system to indicate an association between the determined exam type and one or more exam types in the exam type data structure. In one embodiment, the method further comprises storing the association between the determined exam type and one or more exam types in the exam type data structure provided by the user in the exam type data structure so that the association is usable in automatically updating exam types of other exams having the determined exam type.


In one embodiment, the determined exam type comprises one or more of an exam description associated with the exam and/or a modality of the exam. In one embodiment, the exam description is provided via an HL-7 message that includes text or coded values. In one embodiment, the determined exam type comprises encoded information. In one embodiment, the determined exam type is determined based on data extracted from text or coded values in a data field associated with the images of the exam. In one embodiment, the data field is included in one or more of a cardiovascular information system (CVIS) file, a Digital Imaging and Communications in Medicine (DICOM) file, or a Health Level 7 (HL-7) file associated with the exam.


In one embodiment, the determined exam type matches an exam type in the exam type data structure if the determined exam type and the exam type in the data structure include substantially identical information. In one embodiment, the substantially identical information comprises one or more character strings of the determined exam type and one or more character strings of the matching exam type in the exam type data structure. In one embodiment, the determined exam type is based on one or more of: exam type information, patient demographic information, placer numbers, filler numbers or other coded information.


In one embodiment, the method further comprises applying one or more matching rules to determine whether the determined exam type matches an exam type in the exam type data structure.


In one embodiment, method further comprises determining a confidence level indicating a degree of similarity between the determined exam type and the exam types of the exam type data structure to which the first exam type is compared, wherein the determined exam type matches a respective exam type in response to the confidence level for comparison of the exam type with the respective exam type being above a threshold level. In one embodiment, the threshold level is set based on an organization or user preference.


In one embodiment, the method is performed in response to receiving an exam order including the determined exam type and determining that the determined exam type doesn't match any exam types in the exam type data structure.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a sample montage that may be displayed on a computing device of a user, such as a radiologist or doctor.



FIG. 2 is another example of a montage with a different number of images, including images that are formatted differently and include annotations (e.g., arrows pointing to areas of specific interest).



FIG. 3 is a sample screen shot of information displayed on a monitor by image viewing/manipulation software, such as DR Systems Unity RIS/PACS.



FIG. 4 is another sample screen shot of information displayed on a monitor including, in this specific example, an Advanced Beneficiary Notice and a clinical report template.



FIG. 5 illustrates a sample toolbox that may be used to select items for display on multiple monitors.



FIG. 6 is a sample user interface that may be displayed to a user when a non-matching exam type is ordered, received, or otherwise accessed.



FIG. 7 illustrates a sample screenshot of a user interface that may be used to link a form with one or more of an exam type, insurance plan, acquisition site, or other link.



FIG. 8 illustrates a sample screenshot of a user interface that allows selection and/or viewing of an attribute indicating whether or not a particular form needs to be returned to the medical facility (e.g., after completion by a patient).



FIG. 9 is a system diagram which shows the various components of a system for performing the system and methods described above.





DETAILED DESCRIPTION

Embodiments of the disclosure will now be described with reference to the accompanying figures, wherein like numerals refer to like elements throughout. The terminology used in the description presented herein is not intended to be interpreted in any limited or restrictive manner, simply because it is being utilized in conjunction with a detailed description of certain specific embodiments of the disclosure. Furthermore, embodiments of the disclosure may include several novel features, no single one of which is solely responsible for its desirable attributes or which is essential to practicing the embodiments of the disclosure herein described.


As used herein, the terms “viewer” and “user” are used interchangeably to describe an individual (or group of individuals) that interfaces with a computing device. Users may include, for example, doctors, radiologists, hospital staff, or other individuals involved in acquisition, analysis, storage, management, or other tasks related to medical images. In other embodiments, users may include any individuals or groups of individuals that generate, transmit, view, and/or otherwise work with images of any type. Any discussion herein of user preferences should be construed to also, or alternatively, include user group preferences, site preferences, system preferences, and/or default software preferences.


Depending on the embodiment, the methods described with reference to the flowcharts, as well as any other methods discussed herein, may include fewer or additional blocks and/or the blocks may be performed in a different order than is illustrated. Software code configured for execution on a computing device in order to perform the methods may be provided on a tangible computer readable medium, such as a compact disc, digital video disc, flash drive, hard drive, memory device or any other tangible medium. Such software code may be stored, partially or fully, on a memory of a computing device (e.g., RAM, ROM, etc.), such as the computing system 150 (see discussion of FIG. 1, below), and/or other computing devices illustrated in the figures, in order to perform the respective methods. For ease of explanation, the methods will be described herein as performed by the computing system 150, but the methods are not limited to performance by the computing system 150 and should be interpreted to include performance by any one or more of the computing devices noted herein and/or any other suitable computing device.


Montage Customizations



FIG. 1 is a sample montage that may be displayed on a computing device of a user, such as a radiologist or doctor. In the illustration of FIG. 1, the images of the montage are those selected by the reading physician as key images, such as at the time of review of an MRI of the Brain. The exam may include several image series, and hundreds or thousands of images. In one embodiment, the radiologist composes the montage by selecting one or more key images from one or more image series, and by adjusting various view settings of the images, such as window/level settings, centering, cropping, magnification, annotations, insets, etc. The same image might be selected more than once, but shown on the montage with different window/level settings, centering, cropping, magnification, annotations, insets, etc. FIG. 2 is another example of a montage with a different number of images, including images that are formatted differently and include annotations (e.g., arrows pointing to areas of specific interest).


In one embodiment, montages are saved as separate files, such as separate image files that are essentially a screenshot of a montage (e.g., a snapshot of the montages of FIG. 1 or 2). Thus, the montage that is configured by the viewer (e.g. radiologist or doctor) may be recalled at a later time. In one embodiment, the montage image file may be notated as a key image, such as according to the DICOM (Digital Imaging and Communications in Medicine) specification. The montage might include images from multiple examinations, or might include reference images such as illustrations or medical images exemplifying pathological or normal conditions.


In another embodiment, a montage having 1 or more images can be stored in one or multiple ways, including (1) storage of the complete composite montage image and/or (2) storage of sufficient information regarding each image so that the entire montage can be recreated upon future display or the individually stored images can be displayed, depending on the user's preferences, depending on the display environment (such as aspect ratio of the display window, monitor resolution, a combination of user preferences and display environment, or other factors.) For example, information regarding the arrangement of images in the montage, as well as information regarding display settings of respective images (e.g., magnification, brightness, centering, cropping, filters, annotations, insets, etc.) may be stored. These montage characteristics may then be recalled at a future time and used to re-build the montage. In this embodiment, storage of an image of the entire montage may not be necessary, while in other embodiments the montage image (e.g., a snapshot of the montage) may be stored and used in certain circumstances, such as when the montage is to be displayed on a display having essentially the same resolution and aspect ratio as the display on which the montage was originally created. As used herein, the arrangement information included in montage characteristics may include a number of rows and columns of medical images in the montage, indications of specific locations of each medical image in the montage, indications of an order that medical images of the montage are displayed, and/or any other information that may be usable to read construct a montage on the same or another computing device based on the layout of the montage images.


Additionally, other information related to the montage display/configuration may be stored (and later accessed to rebuild the montage or a montage of different images in the same configuration). For example, information regarding the device on which the montage was generated may be stored. In one embodiment, the resolution of the display device and/or size of a window in which the montage is created (e.g., horizontal pixels by vertical pixels) may be stored. Thus, the system (e.g., the device that will display the images and/or a device that is serving the images) may automatically select the format of the montage (such as 4×2 vs. 2×4) based on the aspect ratio of the images compared to the aspect ratio/orientation of the monitor. In another embodiment, the montage may be displayed in a manually sizable window, and the format of the montage may be automatically and optionally dynamically adjusted based on the aspect ratio of the window. In another embodiment, as images are added to the montage, the display format is automatically adjusted based on the aspect ratio of the montage window, the aspect ratio of the added images, and/or the number of images added.


Similarly, orientation of the display device (e.g., portrait or landscape), as well as matrix information (e.g., the number of rows and columns of images, e.g., 4 images×2 images or 6 images×4 images) may be stored in a set of montage characteristics (e.g., a file that is associated with an exam or added to header information to one or more exam files). Thus, multiple sets of montage characteristics that include the same (or some of the same) images may be stored and selected based on characteristics of the computing device that later displays the montage, such as the display size. Accordingly, a first set of montage characteristics may be automatically selected for viewing of images of a particular exam on a tablet computer while a second set of montage characteristics may be automatically selected for viewing of images of the same particular exam on a desktop computer with a monitor having a much higher resolution. The computing device that displays the montage may automatically select the appropriate set of montage characteristics, without any input from the user. For example, montage characteristics may be stored with a particular exam, such that when that exam is later recalled by any computing system, montage characteristics may be accessed in order to reconstruct part or all of the montage. In some embodiments, montage characteristics are used by a viewing computing system to rebuild all (or parts of the montage) according to rules for doing so, such as user or system rules. Thus, the montage characteristics essentially provide information that is usable by a viewing computing system to view portions or all of the montage in accordance with a viewing environment and/or user preferences.


In one embodiment, the multiple images of a montage are simultaneously saved as key images (e.g., key DICOM objects) so that the images may be easily identified for inclusion in a montage that is generated based on stored montage characteristics.


As noted above, montage characteristics may be automatically selected based on the user, the display monitor (such as its resolution, aspect ratio, Smartphone vs PC monitor, etc.), and/or other characteristics of an image viewing environment. Montage characteristics may be used to display the entire montage in the arrangement originally used by the viewer. In one embodiment, the user may cycle through other images of images series to which key images belong, keeping the same display characteristics as the key image as a default.


In another embodiment, an image may be one of many images in an image series, such as one axial image of a number of stacked axial images of the patient. In this case, in one embodiment, when an image is added to the montage the system may retain information related to the entire series of images so that a user may manipulate the montage image to also access other images in the same series.


By saving the key object information, a user can preserve the ability to manipulate each image individually, even when the images are displayed in the grouped montage mode.


Customized Display of Documents/Dialogs



FIG. 3 is a sample screen shot of information displayed on a monitor by image viewing/manipulation software, such as DR Systems Unity RIS/PACS. The large dialog that fills most of the screen may be referred to as the Requisition, and it contains several tabs, some shown in red (the last three tabs) and others in blue (the first five tabs). Each tab represents a document or dialog associated with one or more imaging exams that are currently displayed on other monitors of a multi-monitor system. For example, FIG. 4 is a sample screen shot of one such arrangement, where the clinical report template associated with the current exam is displayed on the right, and a scanned document (Advanced Beneficiary Notice) is shown on the left.


In some scenarios, a reading physician may want to display the Requisition and the various available documents/dialogs/webforms according to a preferred layout (e.g., a user-preferred layout), including size and position of various available elements. For example, with reference to FIG. 4, the user may have displayed the Advanced Beneficiary Notice by selecting one of the tabs from the upper left of the requisition, via another mouse action, keyboard shortcut or audio command, and also displayed the clinical report template through another means, such as a button click, mouse click, hotkey, or audio command. After selecting documents/dialogs for display, the user can adjust the size and position of these objects. Repeating these actions for other patients/exams is repetitive and not efficient. There can be many tabs available on the requisition or elsewhere for display of various categories of display objects, such as clinical reports, scanned documents, photographs, forms, prior exam lists etc.


In one advantageous embodiment, when a user sizes and positions a window, the system remembers that size and position for that category of item (e.g., any object) and for the user (or user group), such as by storing an association between the size and position of the item with the determined category in “item information.” The system may then automatically recreate that sizing and layout in the future for that user when a document of the category is displayed, using the item information. Accordingly, each user can size and position these various documents/dialogs, and the system will remember the layout for any workstation across the network that uses a monitor of the same matrix size, while defaulting to a standard configuration for monitors of a different matrix size. In one embodiment, a single user may have multiple arrangements of documents/dialogs that are associated with different monitor sizes that are used by the user. In some embodiment, display settings may be stored for specific documents/dialogs as well, or as an alternative to the category settings discussed above.


In one embodiment, the display characteristics are associated with a display size (e.g., the matrix size and/or orientation of a monitor on which the document/dialog was viewed), such that the sizing and layout of documents of that category are displayed in that manner only when requested for viewing on the same or similar display configuration. In this embodiment, the system may select a default display layout for other monitor formats. If the user then sets the sizing and layout for another monitor format, the system will remember both set-ups for the user and make those layouts available to other devices throughout a network, such as a WAN or LAN. Any number of set-ups can be remembered.


In one embodiment, the user can open a toolbox, such as the sample toolbox of FIG. 5, from any of multiple monitors by clicking a keyboard shortcut or mouse button, or via an audio command. This toolbox includes a list of all of the display objects available on the Requisition or other objects. The user can select any item on the list to immediately display the desired object, and the object will appear in the location associated with the item information for a category of the object based on the users stored display layout preference or the default layout preference. Thus, the user does not need to drag a mouse to the monitor on which he wants to display the object, and one can control the display of an object on one monitor or in one display window, while working from another monitor or another display window. For example, a single monitor may be large enough to display many windows that might have previously required many monitors. In such an embodiment, the systems and methods discussed herein allow automatic positioning on the single monitor at a location associated with the user account. A reading physician who is viewing images on another monitor (or in another window of a same monitor) can thus control the display of objects on a first monitor without first dragging a mouse or distracting his vision to the first monitor. When the object appears, it follows the stored set-up instructions.


Exam Description Mapping


RIS, PACS, and other healthcare information systems typically contain a table of Exam Types, which is a list of various medical imaging exams available for selection. The Exam Type data structure (or “Exam type master file” or “Exam Type table”) may include exam descriptions, modality descriptions, alphanumeric codes, as well as other information about each Exam Type—such as the default title of a clinical report based on that Exam Type, forms that should appear to the user (clerk, patient, technologist, and/or doctor) when that Exam Type is performed or viewed, linked clinical report templates, linked information about required supplies, clinical protocols, payment policies, charges, relative value/productivity units, safety policies and more. In addition, various user or site preferences can be based on the Exam Type or modality, such as which exams should be automatically restored from archive for comparison when a particular Exam Type is scheduled or performed, which and how many exams are displayed for comparison when an exam is viewed, how a particular user prefers images to be displayed, and more. In addition, system automation may depend on the Exam Type data structure, such as rules automating the pre-fetching of prior comparison exams, reading physician protocols for exam display, automated creation of virtual series, keyboard shortcuts, reading sequences, routing of exams, and more. Therefore, in a sense, the Exam Type master file is a sort of DNA of some healthcare information system.


When a RIS/PACS or other related information system receives medical images or orders from external system, the Exam Type information may or may not match up with information already present in the Exam Type table. For example, exams of the same type may be named differently by different acquisition/viewing system. This information might be exchanged via information in a DR RIS, CVIS, DICOM metafile, in an HL-7 message, an order message, billing message, etc. In one embodiment, the system may offer configuration options that specify how the system should respond to a non-matching Exam Type, such as by either holding the processing of the message or exam import, or automatically adding the non-matching Exam Type to the Exam Type master file. However, either of these options prevents automated performance of actions that are customized for a particular exam type due to a non-matching Exam Type. In fact, setting up actions for a non-matching Exam Type often requires manual intervention. Alternatively, automatically adding a non-matching Exam Type to the Exam Type master file may disrupt automated steps that are dependent on a precisely linked and set-up list of Exam Types.


In order to make more efficient use of the Exam Type master file, in one embodiment an Exam Type mapping function is defined so that when a non-matching Exam Type is encountered by the system via the variety of different possible messages described above, the system prompts the user (in one or more of many possible manners—such as either a pop-up message, generation of a worklist, text-message of other means) that a non-matching Exam Type was encountered. The user can then map the non-matching Exam Type to the proper Exam Type from the master file, so that if the non-matching Exam Type is again encountered, it can be automatically processed (e.g., without any notification to the user). As a result, and depending on the type of in-bound message, the system might create a new scheduled exam with the internally mapped Exam Type, or import a DICOM imaging exam with the proper internally mapped Exam Type. All of the system automation that depends on the internally mapped Exam Type may then properly occur.



FIG. 6 is a sample user interface that may be displayed to a user when a non-matching Exam Type is ordered or received. In this embodiment, the Exam Description may be mapped to an Exam Type already stored in the Exam Type master file so that future exams having the same Exam Description are automatically mapped to the selected Exam Type and its corresponding actions.


In one embodiment, in addition to providing the ability to manually map Exam Types as discussed above, the system could apply rules that map Exam Types based on relative matching of character strings or other best match rules related to Exam Codes or other message characteristics. Based on a confidence level of a match, the automated mapping may be applied without further input from the user. For example, if a confidence level of a match is lower (e.g., below 80%) the user may be provided with the most likely matches and provided an opportunity to select from the short list of possible matches, rather than navigating through a list of all Exam Types in the master file.


In one embodiment, this mapping may be applied not only to inbound messages/exams, but also to outbound messages returning to external information systems, so that any edits, changes, and/or updates could be communicated back to the original system. For example, in one embodiment the exam type of an incoming exam may be changed to a master exam type from the exam type data structure, e.g., so that rules associated with the master exam type may be applied to the incoming exam. When the exam is transmitted elsewhere, such as back to the providing entity, the master exam type may not be recognized by the providing entity. Accordingly, in one embodiment, the exam type is reverted to the original exam time that was included in the recently received exam.


Depending on the embodiment, the exam type may include part or all of an exam description field, a coded value that references an exam type, an imaging modality, any other information, or combinations of information, associated with the exam.


In one embodiment, when an exam order is received via HL-7 or some other electronic interface, if the exam type that is ordered does not match the exam type data structure, the user is prompted to provide a mapping between the received exam type and one of the exam types in the exam type data structure. The provided mapping may then be stored for future automated linking when the exam type is received again in the future. Additionally, for a specific exam, if the exam type is linked or replaced, the system can remember the link and any associated data (such as the filler/placer or other values), and return that information to external systems (e.g., the original provider of the exam) along with any other data associated with the exam (e.g., a report associated with the exam).


Automated Forms to Patient Portal


Patient forms may be created and stored as form templates that are referred to in a data structure that links respective form templates with various links. The links can indicate when the forms are automatically presented and where they are automatically filed. For example, a particular form might be linked to a particular insurance, patient sex, patient language, age group, exam type, modality, or other stored information. As a result, when a scheduled exam is selected, the proper forms for that patient can be automatically presented for printing or electronic completion. In addition, the form templates can be linked to a specific naming convention and storage location. For example, one might create a CT Consent Form template and an MRI Consent Form template, and store information such that when either of these templates is used to create a CT Consent Form or MRI Consent Form, these forms are stored with the patient record such that they are labeled as Consent Forms, whereas there might be other form templates that would be stored as Insurance Forms, or Release Forms, etc.


In one embodiment, when an exam is scheduled, the proper forms based on the automated links are posted to an internet-accessible location where the proper patient can view, print, or complete the forms. The forms may be automatically labeled with an identifying barcode, so that if the patient prints and completes the forms on paper, the paper can later be scanned, the bar code identified, and the form thus automatically filed with the proper patient, proper exam, and proper label. Each instance of a form may be provided with a specific identifier so that the information provided in the form (e.g., electronically or manually) may be associated with the proper patient's record and/or exam, and labeled properly. FIG. 7 illustrates a sample screenshot of a user interface that may be used to link a form with one or more of an Exam Type, Insurance Plan, Acquisition Site, or other link.



FIG. 8 is a screenshot of a sample user interface that may be accessible by a “Set Series” or similar button. The user interface allows the user to specify the category or series name that will be used to store instances of the form that are created using one of the templates stored in this list. Note that the templates might be one of many types of document formats, including MSWord, HTML, XML, CDA, CCR, etc. By placing a barcode on a printed form or by associating information with an electronic form, the system can automatically store the instance of the form with the proper patient, proper exam, and in the proper series. The series information may also further specify if, how, and when the form is presented for any particular user or by system default.


In one embodiment, forms may be associated with an attribute that indicates whether the form must be returned to system (e.g., to the medical facility that originally provided the form). Depending on various factors (e.g., reasons for visiting a medical facility), some quantity of forms provided to a patient may be for use of the patient (and/or a party other than the medical facility that provides the forms) and, thus, are not required to be returned to the medical facility. For example, a medical facility may not want forms that provide informational content to the patient returned to the medical facility. However, many forms provided to the patient may need to be returned to the medical facility and/or required to be returned prior to performance of an exam or procedure, for example. Thus, an attribute indicating whether or not a particular form needs to be returned to the medical facility may be indicated using a user interface similar to that shown in FIG. 8. A patient's file may then be automatically reviewed in order to determine if any forms that are required to be returned have not yet been returned (possibly a certain number of days after the forms are provided or a certain number of days before a scheduled exam).


Example System Implementation



FIG. 9 is a system diagram which shows the various components of a system 100 for performing the system and methods described above, wherein the configuration of the system 100 may include fewer or additional features than are illustrated and individual components, such as the computing device 150, may also include fewer or additional components. In one embodiment the methods discussed above as being performed by “a system” are performed by the computing device 150. In other embodiments, the methods may be performed by any other suitable computing device.


The Computing Device 150 may take various forms. In one embodiment, the Computing Device 150 may be a computer workstation having software modules 151. In other embodiments, software modules 151 may reside on another computing device, such as a web server, and the user directly interacts with a second computing device that is connected to the web server via a computer network.


In one embodiment, the Computing Device 150 comprises a server, a desktop computer, a workstation, a laptop computer, a mobile computer, a Smartphone, a tablet computer, a cell phone, a personal digital assistant, a gaming system, a kiosk, an audio player, any other device that utilizes a graphical user interface, including office equipment, automobiles, airplane cockpits, household appliances, automated teller machines, self-service checkouts at stores, information and other kiosks, ticketing kiosks, vending machines, industrial equipment, and/or a television, for example.


The Computing Device 150 runs an operating system 154, such as an off-the-shelf operating system, for example, Windows, Linux, MacOS, Android, or iOS operation system. The Computing Device 150 may also run a more specialized operating system which may be designed for the specific tasks performed by the computing device 150.


The Computing Device 150 may include one or more computing processors 152. The computer processors 152 may include central processing units (CPUs), and may further include dedicated processors such as graphics processor chips, or other specialized processors. The processors generally are used to execute computer instructions based on the software modules 151 to cause the computing device to perform operations as specified by the modules 151. The modules 151 may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, data structures, data structures, tables, arrays, and variables. For example, modules may include software code written in a programming language, such as, for example, Java, JavaScript, ActionScript, Visual Basic, HTML, C, C++, or C#. While “modules” are generally discussed herein with reference to software, any modules may alternatively be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or divided into sub-modules despite their physical organization or storage.


The Computing Device 150 may also include memory 153. The memory 153 may include volatile data storage such as RAM or SDRAM. The memory 153 may also include more permanent forms of storage such as a hard disk drive, a flash disk, flash memory, a solid state drive, or some other type of non-volatile storage.


The Computing Device 150 may also include or be interfaced to one or more display devices 155 that provide information to the users. Display devices 155 may include a video display, such as one or more high-resolution computer monitors, or a display device integrated into or attached to a laptop computer, handheld computer, Smartphone, computer tablet device, or medical scanner. In other embodiments, the display device 155 may include an LCD, OLED, or other thin screen display surface, a monitor, television, projector, a display integrated into wearable glasses, or any other device that visually depicts user interfaces and data to viewers.


The Display Computing Device 150 may also include or be interfaced to one or more input devices 156 which receive input from users, such as a keyboard, trackball, mouse, 3D mouse, drawing tablet, joystick, game controller, touch screen (e.g., capacitive or resistive touch screen), touchpad, accelerometer, video camera and/or microphone.


The Computing Device 150 may also include one or more interfaces 157 which allow information exchange between Computing Device 150 and other computers and input/output devices using systems such as Ethernet, Wi-Fi, Bluetooth, as well as other wired and wireless data communications techniques.


The modules of Computing Device 150 may be connected using a standard based bus system. In different embodiments, the standard based bus system could be Peripheral Component Interconnect (“PCI”), PCI Express, Accelerated Graphics Port (“AGP”), Micro channel, Small Computer System Interface (“SCSI”), Industrial Standard Architecture (“ISA”) and Extended ISA (“EISA”) architectures, for example. In addition, the functionality provided for in the components and modules of Computing Device 150 may be combined into fewer components and modules or further separated into additional components and modules.


Computing Device 150 may communicate and/or interface with other systems and/or devices. In one or more embodiments, the computing device 150 may be connected to a computer network 110.


The computer network 110 may take various forms. It may be a wired network or a wireless network, or it may be some combination of both. The computer network 110 may be a single computer network, or it may be a combination or collection of different networks and network protocols. For example, the computer network 110 may include one or more local area networks (LAN), wide area networks (WAN), personal area networks (PAN), cellular or data networks, and/or the Internet.


Various devices and subsystems may be connected to the network 110. For example, one or more medical scanners may be connected, such as MRI scanners 120. The MRI scanners 120 may be used to acquire MRI images from patients, and may share the acquired images with other devices on the network 110. The network 110 may also be coupled to one or more CT scanners 122. The CT scanners 122 may also be used to acquire images and, like the MRI scanner 120, may then store those images and/or share those images with other devices via the network 110. Any other scanner or device capable of inputting or generating information could be included, including ultrasound, angiography, nuclear medicine, radiography, endoscopy, pathology, dermatology, etc.


Also connected to the network 110 may be a Picture Archiving and Communications System (PACS) 136 and PACS workstation 138. The PACS 136 is typically used for the storage, retrieval, distribution and presentation of images (such as those created and/or generated by the MRI scanner 120 and CT Scanner 122). The medical images may be stored in an independent format, an open source format, or some other proprietary format. A common format for image storage in the PACS system is the Digital Imaging and Communications in Medicine (DICOM) format. The stored images may be transmitted digitally via the PACS system, often reducing or eliminating the need for manually creating, filing, or transporting film jackets.


The network 110 may also be connected to a Radiology Information System (RIS) 140. The radiology information system 140 is typically a computerized data storage system that is used by radiology departments to store, manipulate and distribute patient radiological information such as Radiology Reports.


Also attached to the network 110 may be an Electronic Medical Record (EMR) system 142. The EMR system 142 may be configured to store and make accessible to a plurality of medical practitioners computerized medical records. Also attached to the network 110 may be a Laboratory Information System 144. Laboratory Information System 144 is typically a system which stores information created or generated by clinical laboratories. Also attached to the network 110 may be a Digital Pathology System 146 used to digitally manage and store information related to medical pathology.


Also attached to the network 110 may be a Computer Aided Diagnosis System (CAD) 148 used to analyze images. In one embodiment, the CAD 148 functionality may reside in a computing device separate from Information Display Computing Device 150 while in another embodiment the CAD 148 functionality may reside within Information Display Computing Device 150.


Also attached to the network 110 may be a 3D Processing System 149 used to perform computations on imaging information to create new views of the information, e.g., 3D volumetric display, Multiplanar Reconstruction (MPR) and Maximum Intensity Projection reconstruction (MIP). In one embodiment, the 3D Processing functionality may reside in a computing device separate from Information Display Computing Device 150 while in another embodiment the 3D Processing functionality may reside within Information Display Computing Device 150.


In other embodiments, other computing devices that store, provide, acquire, and/or otherwise manipulate medical data may also be coupled to the network 110 and may be in communication with one or more of the devices illustrated in FIG. 9, such as with the Information Display Computing Device 150.


As will be discussed herein, Computing Device 150 may be configured to interface with various networked computing devices in order to communicate medical information that is stored among the various systems present in the network. In other embodiments, Information Display Computing Device 150 may be used to display non-medical information.


Depending on the embodiment, the other devices illustrated in FIG. 9 may include some or all of the same components discussed above with reference to the Information Display Computer Device 150.


SUMMARY

Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.


Any process descriptions, elements, or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the embodiments described herein in which elements or functions may be deleted, executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those skilled in the art.


All of the methods and processes described above may be embodied in, and partially or fully automated via, software code modules executed by one or more general purpose computers. For example, the methods described herein may be performed by an Information Display Computing Device and/or any other suitable computing device. The methods may be executed on the computing devices in response to execution of software instructions or other executable code read from a tangible computer readable medium. A tangible computer readable medium is a data storage device that can store data that is readable by a computer system. Examples of computer readable mediums include read-only memory, random-access memory, other volatile or non-volatile memory devices, CD-ROMs, magnetic tape, flash drives, and optical data storage devices.


It should be emphasized that many variations and modifications may be made to the above-described embodiments, the elements of which are to be understood as being among other acceptable examples. All such modifications and variations are intended to be included herein within the scope of this disclosure. The foregoing description details certain embodiments of the invention. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the invention can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the invention should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the invention with which that terminology is associated. The scope of the invention should therefore be construed in accordance with the appended claims and any equivalents thereof.

Claims
  • 1. A computer displaying images of a medical exam, the computer comprising: one or more hardware computer processors configured with computer-executable instructions in order to cause the one or more hardware computer processors to: determine one or more environment characteristics of a first display environment in which one or more of the images of the medical exam are to be displayed;in response to the one or more environment characteristics of the first display environment matching one or more environment characteristics of a second display environment associated with a first, stored composite montage image, display the first, stored composite montage image; andin response to the one or more environment characteristics of the second display environment not matching the one or more environment characteristics of the second display environment associated with the first, stored composite montage image: determine, based on the one or more environment characteristics of the first display environment, one or more display characteristics associated with the medical exam, wherein the one or more display characteristics include an indication of a number of rows and a number of columns of images of the medical exam that are to be concurrently displayed in the first display environment;determine one or more additional display characteristics regarding display settings for individual images in the medical exam;generate a second composite montage image in accordance with the one or more display characteristics and the one or more additional display characteristics; anddisplay the second composite montage image in the first display environment.
  • 2. The system of claim 1, wherein: the one or more hardware computer processors are further configured with computer-executable instructions in order to cause the one or more hardware computer processors to:store a combined snapshot of the second composite montage image for access and display on other computers in a display environment having one or more environment characteristics matching the one or more environment characteristics of the first display environment.
  • 3. The computer of claim 1, wherein the one or more environment characteristics of the first display environment indicate at least one of: an aspect ratio of the display environment and a resolution of the first display environment.
  • 4. The computer of claim 1, wherein determining, based on the one or more environment characteristics of the first display environment, the one or more display characteristics associated with the medical exam comprises: selecting the one or more display characteristics from a plurality of display characteristics associated with the medical exam.
  • 5. The computer of claim 1, wherein determining, based on the one or more environment characteristics of the first display environment, the one or more display characteristics associated with the medical exam comprises: determining, based on the one or more environmental characteristics of the first display environment, a resolution or aspect ratio associated with the one or more display characteristics of the first display environment for displaying at least one image of the medical exam.
  • 6. The computer of claim 1, wherein the one or more hardware computer processors are further configured with computer-executable instructions in order to cause the one or more hardware computer processors to: in response to an input associated with a first image of the first, stored composite montage image of the medical exam that is displayed in the first display environment: determine an image series of the medical exam associated with the first image;select, based on the input, another image from the image series; anddisplay the other image in place of the first image in the first display environment within the first, stored composite montage image.
  • 7. The computer of claim 1, wherein the one or more display characteristics are further associated with a user of the first display environment.
  • 8. The computer of claim 1, wherein the first, stored composite montage image includes a plurality of images of the medical exam, and wherein the plurality of images of the medical exam include images from a plurality of image series of the medical exam.
  • 9. The computer of claim 1, wherein the first, stored composite montage image includes a plurality of images of the medical exam, and wherein the plurality of images of the medical exam include at least two of a same image from the medical exam but with differing view settings.
  • 10. The computer of claim 1, wherein the one or more additional display characteristics include at least one selected from a group consisting of magnification, brightness, centering, cropping, filters, annotations, and insets.
  • 11. A server comprising: one or more hardware computer processors configured with computer-executable instructions in order to cause the one or more hardware computer processors to: store a first montage image generated for a first display environment having a first set of environment characteristics, the first montage image associated with a medical exam;receive a request to display a composite montage image associated with the medical exam in a second display environment having a second set of environment characteristics;in response to the second set of environment characteristics matching the first set of environment characteristics, retrieve the stored first montage image as a response to the request; andin response to the second set of environment characteristics not matching the first set of environment characteristics, retrieve, as a response to the request, one or more display characteristics based on the second set of environment characteristics, wherein the one or more display characteristics include an indication of a number of rows and a number of columns of images of the medical exam that are to be concurrently displayed in the second display environment, and one or more additional display characteristics regarding display settings for individual images in the medical exam, the one or more display characteristics and the additional display characteristics usable to recreate the first composite montage image for display within the second display environment.
  • 12. The server of claim 11, wherein the second set of environment characteristics indicate at least one of an aspect ratio of the second display environment and a resolution of the second display environment.
  • 13. The server of claim 11, wherein the first composite montage image includes a plurality of images of the medical exam, and wherein the plurality of images of the medical exam include images from a plurality of image series of the medical exam.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 13/572,397, filed, Aug. 10, 2012, and titled “DYNAMIC MONTAGE RECONSTRUCTION,” which application claims the benefit of priority under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 61/522,633, filed Aug. 11, 2011, and titled “CUSTOMIZED VIEWING ENVIRONMENT.” This application is also a continuation of U.S. patent application Ser. No. 13/572,547, filed, Aug. 10, 2012, and titled “AUTOMATED DISPLAY SETTINGS FOR CATEGORIES OF ITEMS,” which application claims the benefit of priority under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 61/522,633, filed Aug. 11, 2011, and titled “CUSTOMIZED VIEWING ENVIRONMENT.” This application is also a continuation of U.S. patent application Ser. No. 13/572,552, filed, Aug. 10, 2012, and titled “EXAM TYPE MAPPING,” which application claims the benefit of priority under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 61/522,633, filed Aug. 11, 2011, and titled “CUSTOMIZED VIEWING ENVIRONMENT.” The disclosures of all of the above listed applications are hereby incorporated by reference herein in their entireties.

US Referenced Citations (467)
Number Name Date Kind
4672683 Matsueda Jun 1987 A
5123056 Wilson Jun 1992 A
5172419 Manian Dec 1992 A
5179651 Taaffe et al. Jan 1993 A
5431161 Ryals et al. Jul 1995 A
5452416 Hilton et al. Sep 1995 A
5515375 DeClerck May 1996 A
5542003 Wofford Jul 1996 A
5734915 Roewer Mar 1998 A
5740267 Echerer et al. Apr 1998 A
5779634 Ema et al. Jul 1998 A
5807256 Taguchi Sep 1998 A
5835030 Tsutsui et al. Nov 1998 A
5852646 Klotz et al. Dec 1998 A
5857030 Gaborski Jan 1999 A
5926568 Chaney et al. Jul 1999 A
5954650 Saito et al. Sep 1999 A
5976088 Urbano et al. Nov 1999 A
5986662 Argiro et al. Nov 1999 A
5987345 Engelmann et al. Nov 1999 A
5995644 Lai et al. Nov 1999 A
6008813 Lauer et al. Dec 1999 A
6115486 Cantoni Sep 2000 A
6128002 Leiper Oct 2000 A
6130671 Agiro Oct 2000 A
6151581 Kraftson et al. Nov 2000 A
6175643 Lai et al. Jan 2001 B1
6177937 Stockham et al. Jan 2001 B1
6185320 Bick et al. Feb 2001 B1
6211795 Izuta Apr 2001 B1
6211884 Knittel et al. Apr 2001 B1
6219059 Argiro Apr 2001 B1
6219061 Lauer et al. Apr 2001 B1
6243095 Shile et al. Jun 2001 B1
6243098 Lauer et al. Jun 2001 B1
6262740 Lauer et al. Jul 2001 B1
6266733 Knittel et al. Jul 2001 B1
6269379 Hiyama et al. Jul 2001 B1
6297799 Knittel et al. Oct 2001 B1
6304667 Reitano Oct 2001 B1
6310620 Lauer et al. Oct 2001 B1
6313841 Ogata et al. Nov 2001 B1
6342885 Knittel et al. Jan 2002 B1
6347329 Evans Feb 2002 B1
6351547 Johnson et al. Feb 2002 B1
6356265 Knittel et al. Mar 2002 B1
6369816 Knittel et al. Apr 2002 B1
6383135 Chikovani et al. May 2002 B1
6388687 Brackett et al. May 2002 B1
6404429 Knittel Jun 2002 B1
6407737 Zhao et al. Jun 2002 B1
6411296 Knittel et al. Jun 2002 B1
6421057 Lauer et al. Jul 2002 B1
6424346 Correll et al. Jul 2002 B1
6424996 Killcommons et al. Jul 2002 B1
6426749 Knittel et al. Jul 2002 B1
6427022 Craine et al. Jul 2002 B1
6438533 Spackman et al. Aug 2002 B1
6463169 Ina et al. Oct 2002 B1
6476810 Simha et al. Nov 2002 B1
6512517 Knittel et al. Jan 2003 B1
6532299 Sachdeva et al. Mar 2003 B1
6532311 Pritt Mar 2003 B1
6556695 Packer et al. Apr 2003 B1
6556724 Chang et al. Apr 2003 B1
6563950 Wiskott et al. May 2003 B1
6574629 Cooke, Jr. et al. Jun 2003 B1
6577753 Ogawa Jun 2003 B2
6603494 Banks et al. Aug 2003 B1
6606171 Renk et al. Aug 2003 B1
6614447 Bhatia et al. Sep 2003 B1
6618060 Brackett Sep 2003 B1
6621918 Hu et al. Sep 2003 B1
6630937 Kallergi et al. Oct 2003 B2
6650766 Rogers Nov 2003 B1
6654012 Lauer et al. Nov 2003 B1
6678764 Parvelescu et al. Jan 2004 B2
6680735 Seiler et al. Jan 2004 B1
6683933 Saito et al. Jan 2004 B2
6697067 Callahan et al. Feb 2004 B1
6697506 Oian et al. Feb 2004 B1
6734880 Chang et al. May 2004 B2
6760755 Brackett Jul 2004 B1
6775402 Bacus et al. Aug 2004 B2
6778689 Aksit et al. Aug 2004 B1
6785410 Vining et al. Aug 2004 B2
6820093 de la Huerga Nov 2004 B2
6820100 Funahashi Nov 2004 B2
6826297 Saito et al. Nov 2004 B2
6829377 Milioto Dec 2004 B2
6864794 Betz Mar 2005 B2
6886133 Bailey et al. Apr 2005 B2
6891920 Minyard et al. May 2005 B1
6894707 Nemoto May 2005 B2
6909436 Pianykh et al. Jun 2005 B1
6909795 Tecotzky et al. Jun 2005 B2
6917696 Soenksen Jul 2005 B2
6988075 Hacker Jan 2006 B1
6996205 Capolunghi et al. Feb 2006 B2
7016952 Mullen et al. Mar 2006 B2
7022073 Fan et al. Apr 2006 B2
7027633 Foran et al. Apr 2006 B2
7031504 Argiro et al. Apr 2006 B1
7031846 Kaushikkar et al. Apr 2006 B2
7039723 Hu et al. May 2006 B2
7043474 Mojsilovic May 2006 B2
7050620 Heckman May 2006 B2
7054473 Roehrig et al. May 2006 B1
7058901 Hafey et al. Jun 2006 B1
7092572 Huang et al. Aug 2006 B2
7103205 Wang et al. Sep 2006 B2
7106479 Roy et al. Sep 2006 B2
7110616 Ditt et al. Sep 2006 B2
7113186 Kim et al. Sep 2006 B2
7123684 Jing et al. Oct 2006 B2
7136064 Zuiderveld Nov 2006 B2
7139416 Vuylsteke Nov 2006 B2
7149334 Dehmeshki Dec 2006 B2
7155043 Daw Dec 2006 B2
7162623 Yngvesson Jan 2007 B2
7170532 Sako Jan 2007 B2
7174054 Manber et al. Feb 2007 B2
7209149 Jogo Apr 2007 B2
7209578 Saito et al. Apr 2007 B2
7212661 Samara et al. May 2007 B2
7218763 Belykh et al. May 2007 B2
7224852 Lipton et al. May 2007 B2
7236558 Saito et al. Jun 2007 B2
7260249 Smith Aug 2007 B2
7263710 Hummel et al. Aug 2007 B1
7272610 Torres Sep 2007 B2
7346199 Pfaff Mar 2008 B2
7366992 Thomas, III Apr 2008 B2
7379578 Soussaline et al. May 2008 B2
7412111 Battle et al. Aug 2008 B2
7450747 Jabri Nov 2008 B2
7492970 Saito et al. Feb 2009 B2
7505782 Chu Mar 2009 B2
7516417 Amador et al. Apr 2009 B2
7525554 Morita et al. Apr 2009 B2
7526114 Seul et al. Apr 2009 B2
7526132 Koenig Apr 2009 B2
7545965 Suzuki et al. Jun 2009 B2
7574029 Peterson et al. Aug 2009 B2
7583861 Hanna et al. Sep 2009 B2
7590272 Brejl et al. Sep 2009 B2
7599534 Krishnan Oct 2009 B2
7613335 McLennan et al. Nov 2009 B2
7634121 Novatzky et al. Dec 2009 B2
7636413 Toth Dec 2009 B2
7639879 Goto et al. Dec 2009 B2
7656543 Atkins Feb 2010 B2
7660481 Schaap et al. Feb 2010 B2
7660488 Reicher et al. Feb 2010 B2
7668352 Tecotzky et al. Feb 2010 B2
7683909 Takekoshi Mar 2010 B2
7698152 Reid Apr 2010 B2
7716277 Yamatake May 2010 B2
7787672 Reicher et al. Aug 2010 B2
7834891 Yarger et al. Nov 2010 B2
7835560 Vining et al. Nov 2010 B2
7885440 Fram et al. Feb 2011 B2
7885828 Glaser-Seidnitzer et al. Feb 2011 B2
7899514 Kirkland Mar 2011 B1
7920152 Fram et al. Apr 2011 B2
7941462 Akinyemi et al. May 2011 B2
7953614 Reicher May 2011 B1
7970188 Mahesh et al. Jun 2011 B2
7970625 Reicher et al. Jun 2011 B2
7991210 Peterson et al. Aug 2011 B2
8019138 Reicher et al. Sep 2011 B2
8046044 Stazzone et al. Oct 2011 B2
8050938 Green, Jr. et al. Nov 2011 B1
8065166 Maresh et al. Nov 2011 B2
8073225 Hagen et al. Dec 2011 B2
8094901 Reicher et al. Jan 2012 B1
8150708 Kotula et al. Apr 2012 B2
8214756 Salazar-Ferrer et al. Jul 2012 B2
8217966 Fram et al. Jul 2012 B2
8244014 Reicher et al. Aug 2012 B2
8249687 Peterson et al. Aug 2012 B2
8262572 Chono Sep 2012 B2
8292811 Relkuntwar et al. Oct 2012 B2
8298147 Huennekens et al. Oct 2012 B2
8370293 Iwase et al. Feb 2013 B2
8379051 Brown Feb 2013 B2
8380533 Reicher et al. Feb 2013 B2
8391643 Melbourne et al. Mar 2013 B2
8406491 Gee et al. Mar 2013 B2
8452063 Wojton May 2013 B2
8457990 Reicher et al. Jun 2013 B1
8520978 Jakobovits Aug 2013 B2
8554576 Reicher et al. Oct 2013 B1
8560050 Martin et al. Oct 2013 B2
8610746 Fram et al. Dec 2013 B2
8626527 Reicher et al. Jan 2014 B1
8693757 Gundel Apr 2014 B2
8712120 Reicher et al. Apr 2014 B1
8731259 Reicher et al. May 2014 B2
8751268 Reicher et al. Jun 2014 B1
8797350 Fram Aug 2014 B2
8879807 Fram et al. Nov 2014 B2
8913808 Reicher et al. Dec 2014 B2
8954884 Barger Feb 2015 B1
8976190 Westerhoff et al. Mar 2015 B1
9042617 Reicher et al. May 2015 B1
9075899 Reicher Jul 2015 B1
9092551 Reicher Jul 2015 B1
9092727 Reicher Jul 2015 B1
9324188 Fram et al. Apr 2016 B1
9386084 Reicher et al. Jul 2016 B1
9471210 Fram et al. Oct 2016 B1
9495604 Fram Nov 2016 B1
9501617 Reicher et al. Nov 2016 B1
9501627 Reicher et al. Nov 2016 B2
9501863 Fram et al. Nov 2016 B1
9542082 Reicher et al. Jan 2017 B1
9672477 Reicher et al. Jun 2017 B1
9727938 Reicher et al. Aug 2017 B1
9754074 Reicher et al. Sep 2017 B1
9836202 Reicher et al. Dec 2017 B1
1015768 Reicher et al. Dec 2018 A1
10387612 Wu Aug 2019 B2
20010016822 Bessette Aug 2001 A1
20010042124 Barron Nov 2001 A1
20020016718 Rothschild et al. Feb 2002 A1
20020021828 Papier et al. Feb 2002 A1
20020039084 Yamaguchi Apr 2002 A1
20020044696 Sirohey et al. Apr 2002 A1
20020070970 Wood et al. Jun 2002 A1
20020073429 Beane et al. Jun 2002 A1
20020090118 Olschewski Jul 2002 A1
20020090119 Saito et al. Jul 2002 A1
20020090124 Soubelet et al. Jul 2002 A1
20020091659 Beaulieu et al. Jul 2002 A1
20020103673 Atwood Aug 2002 A1
20020103827 Sesek Aug 2002 A1
20020106119 Foran et al. Aug 2002 A1
20020110285 Wang et al. Aug 2002 A1
20020144697 Betz Oct 2002 A1
20020145941 Poland et al. Oct 2002 A1
20020172408 Saito et al. Nov 2002 A1
20020172409 Saito et al. Nov 2002 A1
20020180883 Tomizawa et al. Dec 2002 A1
20020186820 Saito et al. Dec 2002 A1
20020188637 Bailey et al. Dec 2002 A1
20020190984 Seiler et al. Dec 2002 A1
20030005464 Gropper et al. Jan 2003 A1
20030013951 Stefanescu Jan 2003 A1
20030016850 Kaufman et al. Jan 2003 A1
20030028402 Ulrich et al. Feb 2003 A1
20030034973 Zuiderveld Feb 2003 A1
20030037054 Dutta et al. Feb 2003 A1
20030053668 Ditt et al. Mar 2003 A1
20030055896 Hu et al. Mar 2003 A1
20030065613 Smith Apr 2003 A1
20030071829 Bodicker et al. Apr 2003 A1
20030101291 Mussack et al. May 2003 A1
20030115083 Masarie, Jr. et al. Jun 2003 A1
20030120516 Perednia Jun 2003 A1
20030130973 Sumner, II et al. Jul 2003 A1
20030140044 Mok et al. Jul 2003 A1
20030140141 Mullen et al. Jul 2003 A1
20030156745 Saito et al. Aug 2003 A1
20030160095 Segal Aug 2003 A1
20030164860 Shen et al. Sep 2003 A1
20030184778 Chiba Oct 2003 A1
20030187689 Barnes et al. Oct 2003 A1
20030190062 Noro et al. Oct 2003 A1
20030195416 Toth Oct 2003 A1
20030204420 Wilkes et al. Oct 2003 A1
20030215120 Uppaluri et al. Nov 2003 A1
20030215122 Tanaka Nov 2003 A1
20040008900 Jabri et al. Jan 2004 A1
20040015703 Madison et al. Jan 2004 A1
20040024303 Banks et al. Feb 2004 A1
20040027359 Aharon et al. Feb 2004 A1
20040061889 Wood et al. Apr 2004 A1
20040068170 Wang et al. Apr 2004 A1
20040086163 Moriyama et al. May 2004 A1
20040088192 Schmidt et al. May 2004 A1
20040105030 Yamane Jun 2004 A1
20040105574 Pfaff Jun 2004 A1
20040114714 Minyard et al. Jun 2004 A1
20040122705 Sabol et al. Jun 2004 A1
20040122787 Avinash et al. Jun 2004 A1
20040141661 Hanna et al. Jul 2004 A1
20040143582 Vu Jul 2004 A1
20040161139 Samara et al. Aug 2004 A1
20040161164 Dewaele Aug 2004 A1
20040165791 Kaltanji Aug 2004 A1
20040172306 Wohl et al. Sep 2004 A1
20040174429 Chu Sep 2004 A1
20040190780 Shiibashi et al. Sep 2004 A1
20040197015 Fan et al. Oct 2004 A1
20040202387 Yngvesson Oct 2004 A1
20040243435 Williams Dec 2004 A1
20040252871 Tecotzky et al. Dec 2004 A1
20040254816 Myers Dec 2004 A1
20040255252 Rodriguez et al. Dec 2004 A1
20050010531 Kushalnagar et al. Jan 2005 A1
20050027569 Gollogly et al. Feb 2005 A1
20050027570 Maier et al. Feb 2005 A1
20050043970 Hsieh Feb 2005 A1
20050063575 Ma et al. Mar 2005 A1
20050065424 Shah et al. Mar 2005 A1
20050074150 Bruss Apr 2005 A1
20050074157 Thomas, III Apr 2005 A1
20050075544 Shapiro et al. Apr 2005 A1
20050088534 Shen et al. Apr 2005 A1
20050107689 Sasano May 2005 A1
20050108058 Weidner et al. May 2005 A1
20050110791 Krishnamoorthy et al. May 2005 A1
20050111733 Fors et al. May 2005 A1
20050113681 DeFreitas et al. May 2005 A1
20050114178 Krishnamurthy et al. May 2005 A1
20050114179 Brackett et al. May 2005 A1
20050114283 Pearson et al. May 2005 A1
20050143654 Zuiderveld et al. Jun 2005 A1
20050171818 McLaughlin Aug 2005 A1
20050184988 Yanof et al. Aug 2005 A1
20050197860 Joffe et al. Sep 2005 A1
20050238218 Nakamura Oct 2005 A1
20050244041 Tecotzky et al. Nov 2005 A1
20050251013 Krishnan Nov 2005 A1
20050254729 Saito et al. Nov 2005 A1
20050273009 Deischinger et al. Dec 2005 A1
20060008181 Takekoshi Jan 2006 A1
20060031097 Lipscher et al. Feb 2006 A1
20060050152 Rai et al. Mar 2006 A1
20060058603 Dave et al. Mar 2006 A1
20060061570 Cheryauka et al. Mar 2006 A1
20060093198 Fram et al. May 2006 A1
20060093199 Fram et al. May 2006 A1
20060093207 Reicher et al. May 2006 A1
20060095423 Reicher et al. May 2006 A1
20060095426 Takachio et al. May 2006 A1
20060106642 Reicher et al. May 2006 A1
20060111941 Blom May 2006 A1
20060122482 Mariotti et al. Jun 2006 A1
20060171574 DelMonego et al. Aug 2006 A1
20060181548 Hafey Aug 2006 A1
20060188134 Quist Aug 2006 A1
20060230072 Partovi et al. Oct 2006 A1
20060239573 Novatzky et al. Oct 2006 A1
20060241979 Sato et al. Oct 2006 A1
20060267976 Saito et al. Nov 2006 A1
20060276708 Peterson et al. Dec 2006 A1
20060277075 Salwan Dec 2006 A1
20060282408 Wisely et al. Dec 2006 A1
20070009078 Saito et al. Jan 2007 A1
20070021977 Elsholz Jan 2007 A1
20070050701 El Emam et al. Mar 2007 A1
20070055550 Courtney et al. Mar 2007 A1
20070064984 Vassa et al. Mar 2007 A1
20070067124 Kimpe et al. Mar 2007 A1
20070073556 Lau et al. Mar 2007 A1
20070077952 Rafter et al. Apr 2007 A1
20070106535 Matsunaga May 2007 A1
20070106633 Reiner May 2007 A1
20070109299 Peterson May 2007 A1
20070109402 Niwa May 2007 A1
20070110294 Schaap et al. May 2007 A1
20070116345 Peterson et al. May 2007 A1
20070116346 Peterson et al. May 2007 A1
20070122016 Brejl et al. May 2007 A1
20070124541 Lang et al. May 2007 A1
20070140536 Sehnert Jun 2007 A1
20070159962 Mathavu Jul 2007 A1
20070162308 Peters Jul 2007 A1
20070165917 Cao et al. Jul 2007 A1
20070174079 Kraus Jul 2007 A1
20070192138 Saito et al. Aug 2007 A1
20070192140 Gropper Aug 2007 A1
20070237380 Iwase et al. Oct 2007 A1
20070239481 DiSilvestro et al. Oct 2007 A1
20070245308 Hill et al. Oct 2007 A1
20080016111 Keen Jan 2008 A1
20080019581 Gkanatsios Jan 2008 A1
20080021877 Saito et al. Jan 2008 A1
20080031507 Uppaluri et al. Feb 2008 A1
20080059245 Sakaida et al. Mar 2008 A1
20080097186 Biglieri et al. Apr 2008 A1
20080100612 Dastmalchi et al. May 2008 A1
20080103828 Squilla et al. May 2008 A1
20080118120 Wegenkittl et al. May 2008 A1
20080125846 Battle et al. May 2008 A1
20080126982 Sadikali et al. May 2008 A1
20080133526 Haitani et al. Jun 2008 A1
20080136838 Goede et al. Jun 2008 A1
20080275913 van Arragon et al. Nov 2008 A1
20080279439 Minyard Nov 2008 A1
20080300484 Wang et al. Dec 2008 A1
20090005668 West et al. Jan 2009 A1
20090022375 Fidrich Jan 2009 A1
20090028410 Shimazaki Jan 2009 A1
20090080719 Watt Mar 2009 A1
20090091566 Turney et al. Apr 2009 A1
20090123052 Ruth et al. May 2009 A1
20090129643 Natanzon et al. May 2009 A1
20090129651 Zagzebski et al. May 2009 A1
20090132586 Napora et al. May 2009 A1
20090150481 Garcia et al. Jun 2009 A1
20090164247 Dobler et al. Jun 2009 A1
20090182577 Squilla et al. Jul 2009 A1
20090198514 Rhodes Aug 2009 A1
20090213034 Wu Aug 2009 A1
20090248442 Pacheco et al. Oct 2009 A1
20090268986 Holstein et al. Oct 2009 A1
20090326373 Boese et al. Dec 2009 A1
20100053353 Hunter et al. Mar 2010 A1
20100086182 Luo et al. Apr 2010 A1
20100131887 Salazar-Ferrer et al. May 2010 A1
20100138239 Reicher et al. Jun 2010 A1
20100198608 Kaboff et al. Aug 2010 A1
20100201714 Reicher et al. Aug 2010 A1
20100211409 Kotula et al. Aug 2010 A1
20100246981 Hu et al. Sep 2010 A1
20100299157 Fram et al. Nov 2010 A1
20110016430 Fram Jan 2011 A1
20110019886 Mizuno Jan 2011 A1
20110110572 Guehring et al. May 2011 A1
20110267339 Fram et al. Nov 2011 A1
20110293162 Pajeau Dec 2011 A1
20110316873 Reicher Dec 2011 A1
20120070048 Van Den Brink Mar 2012 A1
20120130729 Raizada et al. May 2012 A1
20120136794 Kushalnagar et al. May 2012 A1
20120163684 Natanzon et al. Jun 2012 A1
20120183191 Nakamura Jul 2012 A1
20120194540 Reicher et al. Aug 2012 A1
20120196258 Geijsen et al. Aug 2012 A1
20120208592 Davis et al. Aug 2012 A1
20120284657 Hafey et al. Nov 2012 A1
20120320093 Zhu Dec 2012 A1
20120324400 Caliendo, Jr. Dec 2012 A1
20130070998 Shibata Mar 2013 A1
20130076681 Sirpal et al. Mar 2013 A1
20130083023 Fram Apr 2013 A1
20130129198 Sherman et al. May 2013 A1
20130129231 Dale et al. May 2013 A1
20130159019 Reicher Jun 2013 A1
20130169661 Reicher et al. Jul 2013 A1
20130195329 Canda et al. Aug 2013 A1
20130198682 Matas et al. Aug 2013 A1
20130297331 Zuehlsdorff et al. Nov 2013 A1
20140022194 Ito Jan 2014 A1
20140096049 Vonshak et al. Apr 2014 A1
20140119514 Miyazawa May 2014 A1
20140142983 Backhaus et al. May 2014 A1
20140378810 Davis et al. Dec 2014 A1
20150046349 Michael, Jr. et al. Feb 2015 A1
20150101066 Fram Apr 2015 A1
20150363104 Ichioka et al. Dec 2015 A1
20160034110 Edwards Feb 2016 A1
20160270746 Foos et al. Sep 2016 A1
20170038951 Reicher et al. Feb 2017 A1
20170039321 Reicher et al. Feb 2017 A1
20170039322 Reicher et al. Feb 2017 A1
20170039350 Reicher et al. Feb 2017 A1
20170039705 Fram et al. Feb 2017 A1
20170046014 Fram Feb 2017 A1
20170046483 Reicher et al. Feb 2017 A1
20170046485 Reicher et al. Feb 2017 A1
20170046495 Fram Feb 2017 A1
20170046870 Fram et al. Feb 2017 A1
20170053404 Reicher et al. Feb 2017 A1
Foreign Referenced Citations (1)
Number Date Country
WO 2007131157 Nov 2007 WO
Non-Patent Literature Citations (349)
Entry
US 7,801,341 B2, 09/2010, Fram et al. (withdrawn)
US 8,208,705 B2, 06/2012, Reicher et al. (withdrawn)
Bergström, Patrik. “Automated setup of display protocols.” (2015). (Year: 2015).
U.S. Appl. No. 14/540,830, Systems and Methods for Viewing Medical Images, filed Nov. 13, 2014.
U.S. Appl. No. 14/502,055, Systems and Methods for Interleaving Series of Medical Images, filed Sep. 30, 2014.
U.S. Appl. No. 14/095,123, Systems and Methods for Retrieval of Medical Data, filed Dec. 3, 2013.
U.S. Appl. No. 14/081,225, Systems and Methods for Viewing Medical 3D Imaging Volumes, filed Nov. 15, 2013.
U.S. Appl. No. 14/244,431, Systems and Methods for Matching, Naming, and Displaying Medical Images, filed Apr. 4, 2014.
U.S. Appl. No. 14/298,806, Smart Placement Rules, filed Jun. 4, 2014.
U.S. Appl. No. 11/942,687, Smart Forms, filed Nov. 19, 2007.
U.S. Appl. No. 14/043,165, Automated Document Filing, filed Oct. 1, 2013.
U.S. Appl. No. 11/944,000, Exam Scheduling With Customer Configured Notifications, filed Nov. 21, 2007.
U.S. Appl. No. 13/768,765, System and Method of Providing Dynamic and Customizable Medical Examination Forms, filed Feb. 15, 2013.
U.S. Appl. No. 14/687,853, Rules-Based Approach to Rendering Medical Imaging Data, filed Apr. 15, 2015.
U.S. Appl. No. 15/254,627, Systems and Methods for Interleaving Series of Medical Images, filed Sep. 1, 2016.
U.S. Appl. No. 15/292,006, Systems and Methods for Viewing Medical 3D Imaging Volumes, filed Oct. 12, 2016.
U.S. Appl. No. 15/346,530, Systems and Methods for Matching, Naming, and Displaying Medical Images, filed Nov. 8, 2016.
U.S. Appl. No. 14/298,806, Smart Placement Rules, filed Jun. 6, 2013.
U.S. Appl. No. 14/043,165, Automated Document Filings, filed Oct. 1, 2013.
U.S. Appl. No. 15/292,014 System and Method of Providing Dynamic and Customizable Medical Examination for, filed Oct. 12, 2016.
U.S. Appl. No. 15/292,023, Selective Display of Medical Images, filed Oct. 12, 2016.
U.S. Appl. No. 15/188,872, Intelligent Management of Computerized Advanced Processing, filed Jun. 21, 2016.
U.S. Appl. No. 15/188,819, Intelligent Management of Computerized Advanced Processing, filed Jun. 21, 2016.
U.S. Appl. No. 15/140,346, Database Systems and Interactive User Interfaces for Dynamic Interaction With, and Sorting of, Digital Medical Image Data, filed Apr. 27, 2016.
U.S. Appl. No. 15/140,363, Database Systems and Interactive User Interfaces for Dynamic Interation With, and Comparison of, Digital Medical Image Data, filed Apr. 27, 2016.
U.S. Appl. No. 15/140,351, Database Systems and Interactive User Interfaces for Dynamic Interaction With, and Review of, Digital Medical Image Da, filed Apr. 27, 2016.
U.S. Appl. No. 15/140,348, Database Systems and Interactive User Interfaces for Dynamic Interaction With, and Indications of, Digital Medical Image Data, filed Apr. 27, 2016.
Office Action dated Jan. 17, 2017, in U.S. Appl. No. 14/540,830.
Non-Final Office Action dated Jan. 20, 2016, in U.S. Appl. No. 14/502,055.
Interview Summary dated Apr. 14, 2016, in U.S. Appl. No. 14/502,055.
Notice of Allowance dated Jun. 2, 2016, in U.S. Appl. No. 14/502,055.
Notice of Corrected Allowability dated Jul. 14, 2016, in U.S. Appl. No. 14/502,055.
Notice of Corrected Allowability dated Sep. 19, 2016, in U.S. Appl. No. 14/502,055.
Office Action dated Dec. 12, 2016, in U.S. Appl. No. 15/254,627.
Office Action dated Feb. 23, 2016 in U.S. Appl. No. 14/095,123.
Final Office Action dated Jul. 20, 2016 in U.S. Appl. No. 14/095,123.
Corrected Notice of Allowance dated Jun. 27, 2016, in U.S. Appl. No. 14/502,055.
Office Action dated Mar. 10, 2016 in U.S. Appl. No. 14/081,225.
Notice of Allowance dated Sep. 2, 2016 in U.S. Appl. No. 14/081,225.
Corrected Notice of Allowance dated Oct. 21, 2016 in U.S. Appl. No. 14/081,225.
Non-Final Office Action dated Mar. 18, 2016 in U.S. Appl. No. 14/244,431.
Interview Summary dated Jun. 17, 2016 in U.S. Appl. No. 14/244,431.
Notice of Allowance dated Aug. 18, 2016 in U.S. Appl. No. 14/244,431.
Corrected Notice of Allowance dated Nov. 16, 2016 in U.S. Appl. No. 14/244,431.
Office Action, dated Feb. 16, 2016 in U.S. Appl. No. 14/298,806.
Final Office Action, dated Jul. 21, 2016 in U.S. Appl. No. 14/298,806.
Final Office Action, dated Jan. 5, 2015 in U.S. Appl. No. 11/942,687.
PTAB Examiner's Answer, dated Feb. 25, 2016 in U.S. Appl. No. 11/942,687.
Final Office Action dated Feb. 17, 2016 in U.S. Appl. No. 14/043,165.
Appeal Brief dated Jul. 15, 2016 in U.S. Appl. No. 14/043,165.
Examiner's Answer dated Nov. 14, 2016, in U.S. Appl. No. 14/043,165.
Board Decision dated Mar. 23, 2016 in U.S. Appl. No. 11/944,000.
Office Action, dated Jul. 15, 2016 in U.S. Appl. No. 11/944,000.
Notice of Allowability dated Jul. 28, 2016 in U.S. Appl. No. 13/768,765.
Office Action dated Aug. 13, 2015 in U.S. Appl. No. 14/687,853.
Notice of Allowance dated Feb. 25, 2016 in U.S. Appl. No. 14/687,853.
Supplemental Notice of Allowance dated Jun. 2, 2016 in U.S. Appl. No. 14/687,853.
Notice of Allowance dated Aug. 11, 2016 in U.S. Appl. No. 15/163,600.
Supplemental Notice of Allowance dated Sep. 14, 2016 in U.S. Appl. No. 15/163,600.
Office Action, dated Jan. 12, 2017 in U.S. Appl. No. 15/292,023.
Restriction Requirement, dated Jul. 28, 2015 in U.S. Appl. No. 14/139,068.
Office Action, dated Mar. 11, 2016 in U.S. Appl. No. 14/139,068.
Notice of Allowance, dated Sep. 21, 2016 in U.S. Appl. No. 14/139,068.
Rosset et al.: “OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images,” Journal of digital Imaging, Sep. 2004, pp. 205-216.
Sprawls, “Image Characteristics and Quality,” Physical Principles of Medical Imaging, http://www.sprawls.org/resources pp. 1-14.
TeraRecon iNtuition pamphlet in 20 pages, retrieved on Nov. 8, 2013, available at http://int.terarecon.com/wp-content/uploads/2013/11/brochure_english2013.pdf.
TeraRecon iNtuition—Workflow. <www.terarecon.com/wordpress/our-solutions/intuition-workflow> Last accessed Nov. 8, 2013. 2 pages.
U.S. Appl. No. 14/540,830, filed Nov. 13, 2014 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher et al.
U.S. Appl. No. 14/502,055, filed Sep. 30, 2014 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Fram et al.
U.S. Appl. No. 14/095,123, filed Dec. 3, 2013 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher et al.
U.S. Appl. No. 14/081,225, filed Nov. 15, 2013 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents, Fram et al.
U.S. Appl. No. 14/244,431, filed Apr. 3, 2014 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher et al.
U.S. Appl. No. 14/298,806, filed Jun. 6, 2014 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher et al.
U.S. Appl. No. 11/942,687, filed Nov. 19, 2007 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher, et al.
U.S. Appl. No. 14/043,165, filed Oct. 1, 2013 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher, et al.
U.S. Appl. No. 11/944,000, filed Nov. 21, 2007 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher, et al.
2013/0159019, U.S. Appl. No. 13/768,765, filed Feb. 15, 2013 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Jun. 20, 2013, Reicher, et al.
U.S. Appl. No. 14/687,853, filed Apr. 15, 2015 including its ongoing prosecution history, including without limitation Office Actions, Amendments, Remarks, and any other potentially relevant documents., Reicher et al.
Final Office Action dated Jul. 23, 2015 in U.S. Appl. No. 14/095,123.
Interview Summary dated Aug. 27, 2015 in U.S. Appl. No. 14/095,123.
Office Action dated Oct. 2, 2015 in U.S. Appl. No. 14/043,165.
Interview Summary dated Dec. 21, 2015 in U.S. Appl. No. 14/043,165.
Notice of Allowance dated Aug. 28, 2015 in U.S. Appl. No. 13/768,765.
Notice of Allowability dated Nov. 20, 2015 in U.S. Appl. No. 13/768,765.
U.S. Appl. No. 12/437,522, filed May 7, 2009, Fram.
U.S. Appl. No. 13/572,397, filed Aug. 10, 2012, Reicher.
U.S. Appl. No. 13/572,547, filed Aug. 10, 2012, Reicher.
U.S. Appl. No. 13/572,552, filed Aug. 10, 2012, Reicher.
U.S. Appl. No. 14/687,853, filed Apr. 15, 2015, Reicher.
Non-Final Office Action dated Aug. 28, 2007 in U.S. Appl. No. 11/179,384.
Final Office Action dated Jun. 26, 2008 in U.S. Appl. No. 11/179,384.
Non-Final Office Action dated Dec. 29, 2008 in U.S. Appl. No. 11/179,384.
Final Office Action dated Jul. 24, 2009, in U.S. Appl. No. 11/179,384.
Notice of Allowance dated Nov. 3, 2009, in U.S. Appl. No. 11/179,384.
Non-Final Office Action dated Aug. 18, 2010 in U.S. Appl. No. 12/702,976.
Interview Summary dated Dec. 1, 2010, in U.S. Appl. No. 12/702,976.
Final Office Action dated Feb. 17, 2011 in U.S. Appl. No. 12/702,976.
Interview Summary dated May 31, 2011 in U.S. Appl. No. 12/702,976.
Notice of Allowance dated Jul. 20, 2011, in U.S. Appl. No. 12/702,976.
Office Action dated Dec. 1, 2011, in U.S. Appl. No. 13/228,349.
Notice of Allowance dated Feb. 6, 2012, in U.S. Appl. No. 13/228,349.
Notice of Allowance dated Jul. 20, 2012, in U.S. Appl. No. 13/228,349.
Office Action dated Dec. 11, 2013, in U.S. Appl. No. 13/477,853.
Interview Summary dated Mar. 14, 2014, in U.S. Appl. No. 13/477,853.
Final Office Action dated Jun. 13, 2014, in U.S. Appl. No. 13/477,853.
Notice of Allowance dated Aug. 15, 2014, in U.S. Appl. No. 13/477,853.
Non-Final Office Action dated Oct. 1, 2009, in U.S. Appl. No. 11/268,261.
Notice of Allowance dated Feb. 2, 2010, in U.S. Appl. No. 11/268,261.
Interview Summary dated Jan. 25, 2010, in U.S. Appl. No. 11/268,261.
Notice of Allowance dated May 17, 2010, in U.S. Appl. No. 11/268,261.
Supplemental Notice of Allowance dated Aug. 6, 2010, in U.S. Appl. No. 11/268,261.
Notice of Allowance dated Oct. 8, 2010, in U.S. Appl. No. 11/268,261.
Notice of Allowance dated Dec. 3, 2010, in U.S. Appl. No. 11/268,261.
Notice of Allowance dated Jan. 6, 2011, in U.S. Appl. No. 11/268,261.
Office Action dated May 16, 2011, in U.S. Appl. No. 12/857,915.
Interview Summary dated Sep. 6, 2011, in U.S. Appl. No. 12/857,915.
Final Office Action dated Dec. 15, 2011, in U.S. Appl. No. 12/857,915.
Office Action dated Jun. 12, 2012, in U.S. Appl. No. 12/857,915.
Office Action dated Aug. 23, 2013, in U.S. Appl. No. 12/857,915.
Interview Summary dated Feb. 4, 2014, in U.S. Appl. No. 12/857,915.
Notice of Allowance dated Jul. 3, 2014, in U.S. Appl. No. 12/857,915.
“Corrected” Notice of Allowance dated Aug. 15, 2014, in U.S. Appl. No. 12/857,915.
Non-Final Office Action dated May 13, 2009, in U.S. Appl. No. 11/265,979.
Final Office Action dated Dec. 22, 2009 in U.S. Appl. No. 11/265,979.
Non-Final Office Action dated Jul. 8, 2010 in U.S. Appl. No. 11/265,979.
Interview Summary dated Mar. 4, 2010 in U.S. Appl. No. 11/265,979.
Interview Summary dated Nov. 16, 2010 in U.S. Appl. No. 11/265,979.
Final Office Action dated Dec. 23, 2010 in U.S. Appl. No. 11/265,979.
Interview Summary dated Mar. 17, 2011 in U.S. Appl. No. 11/265,979.
Notice of Allowance dated May 26, 2011 in U.S. Appl. No. 11/265,979.
Office Action dated Jun. 8, 2012 in U.S. Appl. No. 13/171,081.
Interview Summary dated Jul. 31, 2012 in U.S. Appl. No. 13/171,081.
Final Office Action dated Oct. 12, 2012 in U.S. Appl. No. 13/171,081.
Interview Summary dated Nov. 6, 2012 in U.S. Appl. No. 13/171,081.
Notice of Allowance, dated Sep. 4, 2013, in U.S. Appl. No. 13/171,081.
Office Action dated Mar. 3, 2015 in U.S. Appl. No. 14/095,123.
Non-Final Office Action dated Aug. 24, 2009 in U.S. Appl. No. 11/268,262.
Non-Final Office Action dated Apr. 16, 2010 in U.S. Appl. No. 11/268,262.
Interview Summary dated Nov. 24, 2009 in U.S. Appl. No. 11/268,262.
Interview Summary dated May 12, 2010 in U.S. Appl. No. 11/268,262.
Final Office Action dated Oct. 28, 2010 in U.S. Appl. No. 11/268,262.
Interview Summary dated Dec. 1, 2010 in U.S. Appl. No. 11/268,262.
Notice of Allowance dated Dec. 1, 2010 in U.S. Appl. No. 11/268,262.
Notice of Allowance dated Feb. 25, 2011 in U.S. Appl. No. 11/268,262.
Non-Final Office Action dated Jan. 11, 2012 in U.S. Appl. No. 13/079,597.
Notice of Allowance dated Apr. 25, 2012, in U.S. Appl. No. 13/079,597.
Non-Final Office Action dated Apr. 4, 2013 in U.S. Appl. No. 13/535,758.
Notice of Allowance, dated Aug. 23, 2013 in U.S. Appl. No. 13/535,758.
Non-Final Office Action dated Jul. 27, 2009 in U.S. Appl. No. 11/265,978.
Notice of Allowance dated Nov. 19, 2009 in U.S. Appl. No. 11/265,978.
Notice of Allowance dated Apr. 19, 2010 in U.S. Appl. No. 11/265,978.
Supplemental Notice of Allowance dated May 3, 2010 in U.S. Appl. No. 11/265,978.
Supplemental Notice of Allowance dated Aug. 3, 2010 in U.S. Appl. No. 11/265,978.
Non-Final Office Action dated May 5, 2011 in U.S. Appl. No. 12/870,645.
Non-Final Office Action dated May 31, 2013, in U.S. Appl. No. 13/345,606.
Interview Summary dated Aug. 15, 2013, in U.S. Appl. No. 13/345,606.
Notice of Allowance, dated Jan. 9, 2014 in U.S. Appl. No. 13/345,606.
Non-Final Office Action dated May 26, 2010 in U.S. Appl. No. 11/942,674.
Interview Summary dated Jul. 26, 2010 in U.S. Appl. No. 11/942,674.
Final Office Action dated Nov. 26, 2010 in U.S. Appl. No. 11/942,674.
Interview Summary dated Mar. 2, 2011 in U.S. Appl. No. 11/942,674.
Notice of Allowance, dated Apr. 1, 2011 in U.S. Appl. No. 11/942,674.
Non Final Office Action dated Nov. 10, 2011 in U.S. Appl. No. 13/118,085.
Interview Summary, dated Feb. 17, 2012, in U.S. Appl. No. 13/118,085.
Final Office Action, dated Apr. 13, 2012, in U.S. Appl. No. 13/118,085.
Notice of Allowance, dated Feb. 6, 2013, in U.S. Appl. No. 13/118,085.
Non Final Office Action dated Aug. 23, 2013 in U.S. Appl. No. 13/907,128.
Final Office Action dated Oct. 9, 2013 in U.S. Appl. No. 13/907,128.
Interview Summary dated Nov. 22, 2013 in U.S. Appl. No. 13/907,128.
Notice of Allowance dated Jan. 31, 2014 in U.S. Appl. No. 13/907,128.
Office Action, dated Dec. 29, 2014 in U.S. Appl. No. 14/298,806.
Interview Summary, dated Mar. 2, 2015 in U.S. Appl. No. 14/298,806.
Final Office Action, dated Jun. 17, 2015 in U.S. Appl. No. 14/298,806.
Non Final Office Action dated Sep. 16, 2010 in U.S. Appl. No. 11/942,687.
Interview Summary dated Dec. 3, 2010 in U.S. Appl. No. 11/942,687.
Final Office Action, dated Apr. 5, 2011 in U.S. Appl. No. 11/942,687.
Office Action, dated Mar. 13, 2014 in U.S. Appl. No. 11/942,687.
Interview Summary, dated Jun. 17, 2014 in U.S. Appl. No. 11/942,687.
Office Action, dated Jul. 18, 2014 in U.S. Appl. No. 11/942,687.
Interview Summary, dated Mar. 4, 2015 in U.S. Appl. No. 11/942,687.
Non-Final Office Action dated Apr. 14, 2010 in U.S. Appl. No. 11/944,027.
Interview Summary dated May 13, 2010 in U.S. Appl. No. 11/944,027.
Final Office Action dated Dec. 23, 2010 in U.S. Appl. No. 11/944,027.
Interview Summary dated Mar. 31, 2011 in U.S. Appl. No. 11/944,027.
Office Action dated Apr. 19, 2012 in U.S. Appl. No. 11/944,027.
Interview Summary dated Jun. 28, 2012 in U.S. Appl. No. 11/944,027.
Final Office Action dated Oct. 22, 2012 in U.S. Appl. No. 11/944,027.
Notice of Allowance dated Jun. 5, 2013 in U.S. Appl. No. 11/944,027.
Final Office Action dated Apr. 1, 2015 in U.S. Appl. No. 14/043,165.
Non-Final Office Action dated Sep. 29, 2010 in U.S. Appl. No. 11/944,000.
Final Office Action dated Apr. 20, 2011 in U.S. Appl. No. 11/944,000.
Interview Summary dated Jun. 7, 2011 in U.S. Appl. No. 11/944,000.
Appeal Brief dated Mar. 4, 2013 in U.S. Appl. No. 11/944,000.
Examiner's Answer dated Jun. 26, 2013 in U.S. Appl. No. 11/944,000.
Office Action dated Feb. 3, 2012 in U.S. Appl. No. 12/622,404.
Interview Summary dated May 8, 2012 in U.S. Appl. No. 12/622,404.
Final Office Action dated Aug. 6, 2012 in U.S. Appl. No. 12/622,404.
Notice of Allowance dated Oct. 15, 2012 in U.S. Appl. No. 12/622,404.
Office Action dated Mar. 17, 2015 in U.S. Appl. No. 13/768,765.
Interview Summary dated Jun. 11, 2015 in U.S. Appl. No. 13/768,765.
Office Action dated Mar. 4, 2013 in U.S. Appl. No. 12/891,543.
Interview Summary dated Apr. 5, 2013 in U.S. Appl. No. 12/891,543.
Notice of Allowance dated Nov. 14, 2013 in U.S. Appl. No. 12/891,543.
Office Action dated Sep. 11, 2014 in U.S. Appl. No. 14/179,328.
Notice of Allowance dated Jan. 14, 2015 in U.S. Appl. No. 14/179,328.
Office Action dated Jun. 27, 2014 in U.S. Appl. No. 13/572,397.
Final Office Action dated Jan. 13, 2015 in U.S. Appl. No. 13/572,397.
Notice of Allowance dated Mar. 19, 2015, 2015 in U.S. Appl. No. 13/572,397.
Office Action dated Aug. 6, 2014 in U.S. Appl. No. 13/572,547.
Notice of Allowance, dated Mar. 3, 2015 in U.S. Appl. No. 13/572,547.
Corrected Notice of Allowance, dated Apr. 10, 2015 in U.S. Appl. No. 13/572,547.
Corrected Notice of Allowance, dated May 21, 2015 in U.S. Appl. No. 13/572,547.
Office Action dated Jul. 30, 2014 in U.S. Appl. No. 13/572,552.
Interview Summary dated Sep. 3, 2014 in U.S. Appl. No. 13/572,552.
Final Office Action dated Jan. 28, 2015 in U.S. Appl. No. 13/572,552.
Agfa HealthCare, color brochure “IMPAX 6: Digital Image and Information Management,” © 2012 Agfa HealthCare N.V. Downloaded from http://www.agfahealthcare.com/global/en/he/library/libraryopen?ID=32882925. Accessed on Feb. 9, 2015.
Agfa HealthCare, Impax 6.5 Datasheet (US)2012. © 2012 Agfa HealthCare N.V. Downloaded from http://www.agfahealthcare.com/global/en/he/library/libraryopen?ID=37459801. Accessed on Feb. 9, 2015.
AMD Technologies, Inc., Catella PACS 5.0 Viewer User Manual (112 pgs), © 2010, AMD Technologies, Inc. (Doc. 340-3-503 Rev. 01). Downloaded from http://www.amdtechnologies.com/lit/cat5viewer.pdf. Accessed on Feb. 9, 2015.
Aspyra's Imaging Solutions, 3 page color print out. Accessed at http://www.aspyra.com/imaging-solutions/ Accessed on Feb. 9, 2015.
Avreo, interWorks—RIS/PACS package, 2 page color brochure, © 2014, Avreo, Inc. (Document MR-5032 Rev. 4). Downloaded from http://www.avreo.com/ProductBrochures/MR-5032Rev.%204interWORKS%20RISPACSPackage.pdf. Accessed on Feb. 9, 2015.
BRIT Systems, BRIT PACS View Viewer, 2 page color brochure, (BPB-BPV-0001). Downloaded from http://www.brit.com/pdfs/britpacsview.pdf. Accessed on Feb. 9, 2015.
BRIT Systems, Roentgen Works—100% Browers-based VNA (Vendor Neutral Archive/PACS), © 2010 BRIT Systems, 1 page color sheet. Accessed at http://www.roentgenworks.com/PACS. Accessed on Feb. 9, 2015.
BRIT Systems, Vision Multi-modality Viewer—with 3D, 2 page color brochure, (BPB-BVV-0001 REVC). Downloaded from http://www.brit.com/pdfs/BPB-BVV-0001REVC_BRIT_Vision_Viewer.pdf. Accessed on Feb. 9, 2015.
CANDELiS, ImageGrid™: Image Management Appliance, 6 page color brochure. (AD-012 Rev. F Nov. 2012), © 2012 Candelis, Inc. Downloaded from http://www.candelis.com/images/pdf/Candelis_ImageGrid_Appliance_20111121.pdf. Accessed on Feb. 9, 2015.
Carestream, Cardiology PACS, 8 page color brochure. (CAT 866 6075 06/12). © Carestream Health, Inc., 2012. Downloaded from http://www.carestream.com/cardioPACS_brochure_M1-877.pdf. Accessed on Feb. 9, 2015.
Carestream, Vue PACS, 8 page color brochure. (CAT 300 1035 05/14). © Carestream Health, Inc., 2014. Downloaded from http://www.carestream.com/csPACS_brochure_M1-876.pdf. Accessed on Feb. 9, 2015.
Cerner, Radiology—Streamline image management, 2 page color brochure, (fl03_332_10_v3). Downloaded from http://www.cerner.com/uploadedFiles/Clinical_Imaging.pdf. Accessed on Feb. 9, 2015.
CoActiv, Exam-PACS, 2 page color brochure, © 2014 CoActiv, LLC. Downloaded from http://coactiv.com/wp-content/uploads/2013/08/EXAM-PACS-BROCHURE-final-web.pdf. Accessed on Feb. 9, 2015.
Crowley, Rebecca et al., Development of Visual Diagnostic Expertise in Pathology: an Information-processing Study, Jan. 2003, Journal of the American medical Informatics Association, vol. 10, No. 1, pp. 39-51.
DR Systems, Dominator™ Guide for Reading Physicians, Release 8.2, 546 pages, (TCP-000260-A), © 1997-2009, DR Systems, Inc. Downloaded from https://resources.dominator.com/assets/004/6999.pdf. Document accessed Feb. 9, 2015.
DR Systems, DR Scheduler User Guide, Release 8.2, 410 pages, (TCP-000115-A), © 1997-2009, DR Systems, Inc. Downloaded from https://resources.dominator.com/assets/003/6850.pdf. Document accessed Feb. 9, 2015.
Erickson, et al.: “Effect of Automated Image Registration on Radiologist Interpretation,” Journal of Digital Imaging, vol. 20, No. 2 Jun. 2007; pp. 105-113.
Erickson, et al.: “Image Registration Improves Confidence and Accuracy of Image Interpretation,” Special Issue-Imaging Informatics, Cancer Informatics 2007:1 19-24.
Fujifilm Medical Systems, Synapse® Product Data, Synapse Release Version 3.2.1, Foundation Technologies, 4 page color brochure, (XBUSSY084) Aug. 2008. Downloaded from http://www.fujifilmusa.com/shared/bin/foundation.pdf. Accessed on Feb. 9, 2015.
Fujifilm Medical Systems, Synapse® Product Data, Synapse Release Version 3.2.1, Server Modules and Interfaces, 4 page color brochure, (XBUSSY085) Aug. 2008. Downloaded from http://www.fujifilmusa.com/shared/bin/server-interface.pdf. Accessed on Feb. 9, 2015.
Fujifilm Medical Systems, Synapse® Product Data, Synapse Release Version 3.2.1, Workstation Software, 4 page color brochure, (XBUSSY082) Aug. 2008. Downloaded from http://www.fujifilmusa.com/shared/bin/workstation.pdf. Accessed on Feb. 9, 2015.
GE Healthcare, Centricity PACS, in 8 page printout. Accessed at http://www3.gehealthcare.com/en/products/categories/healthcare_it/medical_imaging_informatics_-_ris-pacs-cvis/centricity_pacs. Accessed on Feb. 9, 2015.
Handylife.com—Overview of Handy Patients Enterprise, in 2 page printout. Accessed from http://www.handylife.com/en/software/overview.html. Accessed on Feb. 18, 2015.
Handylife.com—Features of Handy Patients Enterprise, in 4 page printout. Accessed from http://www.handylife.com/en/software/features.html. Accessed on Feb. 18, 2015.
Handylife.com—Screenshots of Handy Patients Enterprise, in 2 page printout. Accessed from http://www.handylife.com/en/software/screenshots.html. Accessed on Feb. 18, 2015.
ICRco, I See the Future, in 12 pages, color brochure, (BRO80809AUS), © 2009 iCRco.ClarityPACS. Downloaded from http://www.claritypacs.com/pdfs/ISeeFuture_26_Web.pdf. Accessed on Feb. 9, 2015.
Imageanalysis, dynamika, 2 page color brochure. Downloaded from http://www.imageanalysis.org.uk/what-we-do. Accessed on Feb. 9, 2015.
Imageanalysis, MRI Software, in 5 page printout. Accessed at http://www.imageanalysis.org.uk/mri-software. Accessed on Feb. 9, 2015.
IMSI, Integrated Modular Systems, Inc., Hosted / Cloud PACS in one page printout. Accessed at http://www.imsimed.com/#!products-services/ctnu. Accessed on Feb. 9, 2015.
Infinitt, PACS, RIS, Mammo PACS, Cardiology Suite and 3D/Advanced Visualization | Infinittna, 2 page printout. Accessed at http://www.infinittna.com/products/radiology/radiology-pacs. Accessed on Feb. 9, 2015.
Intelerad, IntelePACS, 2 page color brochure, © 2014 Intelerad Medical Systems Incoprorated. Downloaded http://www.intelerad.com/wp-content/uploads/sites/02/2014/08/IntelePACS-brochure.pdf. Accessed on Feb. 9, 2015.
Intelerad, InteleViewer, 2 page color brochure, © 2014 Intelerad Medical Systems Incoprorated. Downloaded from http://www.intelerad.com/wp-content/uploads/sites/02/2014/09/InteleViewer-brochure.pdf. Accessed on Feb. 9, 2015.
Intuitive Imaging Informatics, ImageQube, 1 page in color. Downloaded from http://www.intuitiveimaging.com/2013/pdf/ImageQube%20one-sheet.pdf. Accessed on Feb. 9, 2015.
Kuhl, Helen: Comparison Chart/PACS, Customers Are Happy, But Looking for More, (color) Imaging Techology News, itnonline.com, May 2012, pp. 24-27. Downloaded from http://www.merge.com/MergeHealthcare/media/company/in%20The%20News/merge-pacs-comparison.pdf. Accessed on Feb. 9, 2015.
Lumedx CardioPACS 5.0 Web Viewer, Cardiopacs Module, 2 page color brochure, (506-10011 Rev A). Downloaded from http://cdn.medicexchange.com/images/whitepaper/cardiopacs_web_viewer.pdf?1295436926. Accessed on Feb. 9, 2015.
Lumedx Cardiovascular Information System, CardioPACS, one page in color printout. Accessed at http://www.lumedx..com/pacs.aspx. Accessed on Feb. 9, 2015.
McKesson Enterprise Medical Imagining and PACS | McKesson, 1 page (color) printout. Accessed at http://www.mckesson.com/providers/health-systems/diagnostic-imaging/enterprise-medical-imaging. Accessed on Feb. 9, 2015.
Medweb Radiology Workflow Solutions, Radiology Workflow Solutions, Complete Workflow & Flexible Turnkey Solutions, Web RIS/PACS with Advanced Viewer, 3 page color brochure, © 2006-2014 Medweb. Downloaded from http://www.medweb.com/docs/rispacs_brochure_2014.pdf. Accessed on Feb. 9, 2015.
Mendelson, et al., “Informatics in Radiology—Image Exchange: IHE and the Evolution of Image Sharing,” RadioGraphics, Nov.-Dec. 2008, vol. 28, No. 7.
Merge Radiology Solutions, Merge PACS, A real-time picture archiving communication system, (PAX-21990 rev 2.0), 2 page color brochure. Downloaded from http://www.merge.com/MergeHealthcare/media/documents/brochures/Merge_Pacs_web.pdf. Accessed on Feb. 9, 2015.
NOVARAD Enterprise Imaging Solutions, NOVAPACS, 2 page (color) printout. Accessed at http://ww1.novarad.net/novapacs. Accessed on Feb. 9, 2015.
PACSPLUS, PACSPLUS Server, 1 page (color) printout. Accessed at http://www.pacsplus.com/01_products/products_01.html. Accessed on Feb. 9, 2015.
PACSPLUS, PACSPLUS Workstation, 3 page (color) printout. Accessed at http://www.pacsplus.com/01_products/products_01.html. Accessed on Feb. 9, 2015.
Philips IntelliSpace PACS, in 2 color page printout. Accessed at https://www.healthcare.philips.com/main/products/healthcare_informatics/products/enterprise_imaging_informatics/isite_pacs. Accessed on Feb. 9, 2015.
Philips, IntelliSpace: Multi-modality tumor tracking application versus manual PACS methods, A time study for Response Evaluation Criteria in Solid Tumors (RECIST). 2012, Koninklijke Philips Electronics N.V., in four pages.
RamSoft, RIS PACS Teleradiology, PowerServer PACS, Lite PACS, XU PACS Compare RamSoft PACS Products, 2 color page printout. Accessed at http://www.ramsoft.com/products/powerserver-pacs-overview. Accessed on Feb. 9, 2015.
Sage Intergy PACS | Product Summary. Enhancing Your Workflow by Delivering Web-based Diagnostic Images When and Where You Need Them, in 2 color pages. (IRV-SS-INTPACS-PSS-031309). © 2009 Sage Software Healcare, Inc. Downloaded from http://www.greenwayhealth.com/solutions/intergy/. Accessed on Feb. 9, 2015.
Schellingerhout, Dawid, MD, et al.: “Coregistration of Head CT Comparison Studies: Assessment of Clinical Utility,” Acad Radiol 2003; 10:242-248.
ScImage, Cardiology PACS, in 8 color page printout. Accessed at http://www.scimage.com/solutions/clinical-solutions/cardiology. Accessed on Feb. 9 2015.
Sectra RIS PACS, in 2 color page printout. Accessed at https://www.sectra.com/medical/diagnostic_imaging/solutions/ris-pacs/. Accessed on Feb. 9, 2015.
Siemens syngo.plaza, Features and Benefits, in 2 color page printout. Accessed at http://www.healthcare.siemens.com/medical-imaging-it/imaging-it-radiology-image-management-pacs/syngoplaza/features. Accessed on Feb. 9, 2015.
Simms | RIS and PACS Medical Imaging Software, in 2 color page printout. http://www.mysimms.com/ris-pacs.php. Accessed on Feb. 9, 2015.
Stryker, Imaging—OfficePACS Power Digital Imaging, in one color page printout. Accessed from http://www.stryker.com/emea/Solutions/Imaging/OfficePACSPowerDigitalImaging/index.htm. Accessed on Feb. 9, 2015.
Stryker, OfficePACS Power—Digital Imaging, 8 page color brochure, (MPP-022 Rev 4 BC/MP 300 1/07). © 2007 Stryker. Downloaded from http://www.stryker.com/emea/Solutions/Imaging/OfficePACSPowerDigitalImaging/ssLINK/emea/1557/022268. Accessed on Feb. 9, 2015.
UltraRAD—ultra VISION, 1 page (color). Downloaded from http://www.ultraradcorp.com/pdf/UltraVISION.pdf. Accessed on Feb. 9, 2015.
VioStream for VitreaView, 2 color pages printout. Accessed at http://www.vitalimages.com/solutions/universal-viewing/viostream-for-vitreaview. Accessed on Feb. 9, 2015.
Visage Imaging Visage 7, 3 color page printout. Accessed at http://www.visageimaging.com/visage-7. Accessed on Feb. 9, 2015.
Viztek Radiology PACS Software Vixtek Opal-Rad, 4 color page printout. Accessed at http://viztek.net/products/opal-rad. Accessed on Feb. 9, 2015.
Voyager Imaging—Voyager PACS Radiologist Workstation, 2 page color brochure. Downloaded from http://www.intellirad.com.au/assets/Uploads/Voyager-PacsWorkstations.pdf?. Accessed on Feb. 9, 2015.
Voyager Imaging—Voyager PACS, 3 page color brochure. Downloaded from http://www.intellirad.com.au/index.php/assets/Uploads/Voyager-Pacs3.pdf. Accessed on Feb. 9, 2015.
Ivetic, D., and Dragan, D., Medical Image on the Go!, 2009, J Med Syst, vol. 35, pp. 499-516.
Tahmoush, D. and Samet, H., A New Database for Medical Images and Information, 2007, Medical Imaging 2007; PACS and Imaging Informatics, vol. 6516. pp. 1-9.
Interview Summary dated May 1, 2015 in U.S. Appl. No. 14/095,123.
Office Action dated Oct. 14, 2014 in U.S. Appl. No. 14/043,165.
Interview Summary dated Apr. 23, 2015 in U.S. Appl. No. 13/572,552.
Notice of Allowance, dated May 8, 2015 in U.S. Appl. No. 13/572,552.
Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/179,384 dated Feb. 18, 2009 (2 pages).
Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/179,384 dated Sep. 24, 2008 (4 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/265,979 dated May 13, 2011 (14 pages).
Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/942,687 dated Jun. 10, 2011 (3 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/942,687 dated Apr. 5, 2011 (20 pages).
Patent Board Decision from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/942,687 dated Dec. 22, 2017 (13 pages).
Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/944,000 dated Feb. 4, 2011 (3 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 11/944,000 dated Oct. 5, 2012 (11 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/857,915 dated Jul. 3, 2014 (1 pages).
Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/870,645 dated Jun. 10, 2011 (3 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/870,645 dated Sep. 13, 2011 (8 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/891,543 dated Nov. 14, 2013 (1 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/891,543 dated Mar. 4, 2013 (49 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 13/171,081 dated Sep. 14, 2013 (1 pages).
Corrected Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 13/572,397 dated Jun. 29, 2015 (2 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 13/768,765 dated Aug. 28, 2015 (1 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/043,165 dated Aug. 6, 2018 (11 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/043,165 dated Mar. 19, 2018 (11 pages).
Patent Board Decision from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/043,165 dated Dec. 20, 2017 (11 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/095,123 dated Mar. 30, 2017 (10 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/179,328 dated Dec. 11, 2014 (3 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/298,806 dated Apr. 12, 2017 (10 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/540,830 dated Jul. 28, 2017 (6 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/540,830 dated Mar. 24, 2017 (3 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/540,830 dated May 15, 2017 (42 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 14/540,830 dated Aug. 15, 2017 (8 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,346 dated May 28, 2019 (39 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,348 dated Jul. 9, 2019 (21 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,348 dated Nov. 19, 2018 (33 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,363 dated Jun. 3, 2019 (33 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,819 dated Jul. 3, 2018 (7 pages).
Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,819 dated Mar. 15, 2019 (5 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,819 dated Jan. 25, 2019 (7 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,872 dated Jul. 15, 2019 (4 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,872 dated May 8, 2019 (14 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,872 dated Oct. 19, 2018 (12 pages).
Corrected Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/254,627 dated Jul. 13, 2017 (4 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/254,627 dated Apr. 3, 2017 (11 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,00 dated Nov. 29, 2018 (1 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated Oct. 17, 2018 (17 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated May 9, 2018 (17 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated Apr. 10, 2019 (6 pages).
Corrected Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated Jan. 28, 2019 (3 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated Nov. 29, 2018 (12 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,014 dated Jan. 24, 2019 (7 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,014 dated Jul. 11, 2019 (8 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,023 dated Apr. 11, 2017 (11 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated May 17, 2018 (3 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated Sep. 6, 2018 (14 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated Mar. 26, 2018 (12 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated May 15, 2019 (8 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 12/891,543 dated Nov. 14, 2013 (13 pages).
Applicant-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated Jul. 15, 2019 (3 pages).
Examiner-Initiated Interview Summary from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated Mar. 5, 2019 (1 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated Dec. 6, 2018 (21 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated May 21, 2019 (14 pages).
Non-Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated Jul. 30, 2018 (25 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,819 dated Aug. 21, 2019 (8 pages).
Corrected Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated Sep. 4, 2019 (3 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated Aug. 27, 2019 (7 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,872 dated Aug. 23, 2019 (10 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,346 dated Oct. 31, 2019 (41 pages).
Supplemental Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,819 dated Oct. 2, 2019 (4 pages).
Supplemental Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/188,872 dated Oct. 28, 2019 (5 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,006 dated dated Oct. 29, 2019 (6 pages).
Corrected Notice of Allowability from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/346,530 dated Oct. 9, 2019 (4 pages).
Final Office Action from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/140,351 dated Nov. 14, 2019 (14 pages).
Notice of Allowance from the U.S. Patent and Trademark Office for U.S. Appl. No. 15/292,014 dated Nov. 15, 2019 (7 pages).
Provisional Applications (1)
Number Date Country
61522633 Aug 2011 US
Continuations (3)
Number Date Country
Parent 13572547 Aug 2012 US
Child 14792210 US
Parent 13572552 Aug 2012 US
Child 13572547 US
Parent 13572397 Aug 2012 US
Child 13572552 US