A significant patient concern in mammography and breast tomosynthesis is the discomfort the patient may feel when the breast is compressed, typically bet ween two rigid plastic surfaces, with sufficient force to immobilize the breast and spread out the breast tissues for x-ray imaging. Another significant challenge is to ensure that the imaged field include the desired amount of breast tissue. The reasons for using compression include: (1) to make the breast thinner in the direction of x-ray flux and thereby reduce patient radiation exposure from the level required to image the thicker parts of a breast that is not compressed; (2) to make the breast more uniform in thickness in the direction of x-ray flux and thereby facilitate more uniform exposure at the image plane over the entire breast image; (3) to immobilize the breast during the x-ray exposure and thereby reduce image blurring; and (4) to bring breast tissues out from the chest wall into the imaging exposure field and thus image more tissue. As the breast is being compressed, typically a technician manipulates the breast to position it appropriately and counter the tendency that compression has of pushing breast tissue toward the chest wall and out of the image field.
Standard compression methods for mammography and tomosynthesis use a movable, rigid clear plastic compression paddle. The breast is placed on a breast support platform that typically is flat, and the paddle is then compressed onto the breast, usually while a technician or other health professional is holding the breast in place and perhaps manipulates the breast to ensure proper tissue coverage in the image receptors field of view and to help spread the breast.
In an aspect, the technology relates to a system for imaging a breast. The system includes a radiation source; at least one compression paddle having a non-planar compression surface, wherein the at least one compression paddle is configured to compress the breast during imaging of the breast, a detector configured to detect radiation emitted from the radiation source after passing through the at least one compression paddle and the breast, wherein the detector includes a plurality of pixels, and a memory and a processor operatively connected to the detector, wherein the memory stores instructions that, when executed by the processor, perform a set of operations. The operations include receiving image data from the detector, accessing a correction map for the at least one compression paddle, correcting the image data based on the correction map to generate a corrected image data, and generating an image of the breast based on the corrected image data. In an example, the operations further include at least two of the following operations, upscaling the correction map based on an image size for the image; modifying the correction map by applying a squeeze factor; modifying the correction map for a projection angle and a paddle shirt; and modifying the correction map based on a magnification. In another example, modifying the correction map based on magnification is based at least in part on a height of the compression paddle. In yet another example, the correction map is represented as a matrix, wherein the elements of the matrix represent correction values for a corresponding pixel of the detector. In still yet another example, wherein the elements of the matrix include values for scaling a brightness value of the corresponding pixel of the detector.
In another example, correcting the image data includes correcting the image data on a pixel-by-pixel level. In yet another example, the operations further include further correcting a chest-wall area of the image representative of an area within about 2 cm of a chest wall. In still yet another example, correcting the chest-wall area of the image includes determining a delta value based on at least a slope value and a threshold value.
In another example, the correction map is generated by a process including: filling the compression paddle with a liquid to create a filled paddle; placing the filled paddle on a substantially radiolucent surface, wherein the radiolucent surface covers an imaging area of a detector, passing radiation through the filled paddle and substantially radiolucent surface, detecting the radiation passed through the filled paddle and substantially radiolucent surface; generating a correction image based on the detected radiation, identifying an average pixel value over the correction image, and generating the correction map by dividing each pixel in the correction image by the average pixel value. In yet another example, generating the correction map further comprises generating a series of polynomial fits to represent the correction map.
In another aspect, the technology relates to a method including: filling a hollow paddle with a liquid to create a filled paddle; placing the filled paddle on a substantially radiolucent surface, wherein the radiolucent surface covers an imaging area of a detector; passing radiation through the filled paddle and substantially radiolucent surface, detecting the radiation passed through the filled paddle and substantially radiolucent surface; generating a correction image based on the detected radiation, identifying an average pixel value over the correction image, and generating a correction map by dividing each pixel in the correction image by the average pixel value. In an example, the method further comprises generating a series of polynomial fits to represent the correction map. In another example, generating the series of polynomial fits comprises: for each image column (x) of the detector, selecting points along rows (y) of the detector; and fitting the selected points to a polynomial function to generate a set of fitted points; and wherein generating the correction map further includes generating a fitted image based on the fitted points In yet another example, the polynomial function is a fourth-order polynomial. In still yet another example, generating the correction map further comprises, smoothing the fitted image using a boxcar averaging method; and scaling down the fitted image using decimation. In another example, the liquid is water and the substantially radiolucent material is a Lucite block having a thickness of approximately 4 cm.
In yet another aspect, the technology relates to a computer-implemented method for generating an image of a breast. The method includes receiving image data from a radiographic detector, accessing a correction map for at least one compression paddle having a non-planar compression surface, correcting the image data based on the correction map to generate corrected image data; and generating the image of the breast based on the corrected image data. In an example, the method further includes at least two of: upscaling the correction map based on an image size for the image; modifying the correction map by applying a squeeze factor, modifying the correction map for a projection angle and a paddle shift; and modifying the correction map based on a magnification In another example, the correction map is a matrix, and the elements of the matrix represent correction values for a corresponding pixel of the detector. In yet another example, wherein correcting the image data includes correcting the image data on a pixel-by-pixel level.
In one aspect, the technology relates to a breast compression paddle for use in an imaging system, the breast compression paddle having: a curved right surface, a curved left surface; a curved bottom surface; a curved front surface; a top surface; and a flexible material in contact with the curved tight surface, the curved left surface, the curved front surface, and the top surface, wherein the flexible material is spaced apart from at least a portion of the curved bottom surface.
In one aspect, the technology relates to a breast compression paddle for use in an imaging system, the breast compression paddle having: a curved right surface, a curved left surface, a curved bottom surface, a curved front surface, a top surface; and a transition between adjacent ones of the curved right surface, the curved left surface; the curved bottom surface, the curved front surface, and the top surface, wherein all transitions include no sharp edges.
In one aspect, the technology relates to an imaging system having: an imaging source; an imaging receptor, and a breast compression element having a plurality of curved side surfaces; a front surface connected to each of the plurality of curved side surfaces with a smooth transition between; a compression surface connecting the plurality of curved side surfaces; and a non-compression surface disposed opposite the compression surface and connecting the plurality of curved side surfaces.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identity key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The present technology relates to a breast compression element, such as a breast compression paddle or compression support surface, for use in a breast imaging system. During imaging of a breast, it is often desirable to immobilize the breast through compression. For instance, by compressing the breast, the breast can be made thinner requiring a lower dose of radiation. Further, by immobilizing the breast, image blurring from movement of the breast during imaging is reduced. Other benefits are also realized by compressing the breast. The paddle commonly used to compress the breast, however, may cause distortions in the imaging process as x-rays must pass through the paddle. For instance, while the compression paddles are generally made from at least partially radiolucent materials, the shape and configuration of the compression paddles may cause deflection, refraction, dispersion, reflection, or other undesired interference with an x-ray beam as it passes through the paddle. Thus, undesired artifacts may appear in the resultant image or may need to be accounted for during image processing.
The puddle may also cause discomfort to the patient whose breast is being compressed. One reason for discomfort that the patient may fed is that the compression force is non-uniformly distributed throughout the breast. It is concentrated at the thickest portion of the breast, usually near the chest wall, at or near the lower front edge of the compression paddle and the upper front corner of the breast platform. The anterior portion of the breast, such as near the nipple, may receive less compressive force, or no compressive force. The paddle may not even contact this portion of the breast. (The terms front, lower, and upper pertain to using a craniocaudal (CC) imaging orientation, with the patient facing the front of the imaging system, although it should be understood that other imaging orientations, including mediolateral oblique (MLO) image orientations or views, are used with the same equipment and these terms need to be adjusted accordingly.)
To improve these issues relating to compression elements, in part, the breast compression elements discussed herein reduce or minimize sharp edges (e.g., no sharp edges), thus reducing image blurring due to edge effects. Further, the breast compression elements are shaped so as to have a more consistent thickness at all angles during imaging. Additionally or alternatively, a thin material spans a curved bottom surface of the breast compression element to create a gap between at least a portion of the bottom surface and the thin material. For example, the thin material may be a flexible thin film material displaying very limited stretching capability and strong tensile strength. As the breast compression element is pressed against the breast, the flexible material contacts the breast first so as to begin compression of the breast. As compressive pressure increases, the flexible material is deflected towards the curved bottom surface, providing a more comfortable compression process for the patent. The design of the breast compression structure also allows for mine comfort and support in imaging systems that allow patients to tilt against the system.
When operating in a CT mode, the systems of
As discussed above, a challenge in upright breast CT and/or tomosynthesis is how to immobilize the breast. In some cases, for various reasons, little or no compression of the breast may be desirable. In other cases, it may be desirable to compress or otherwise act on the breast, for example so that breast tissue can be pulled away from patients chest wall and securely retained in unit 104 for imaging. Accordingly, and to generally increase patient comfort, one or both of compression elements 104a and 104b are shaped in a manner designed to hold the breast for CT and/or tomosynthesis imaging while keeping the breast shaped so as to allow for close to equal path lengths of x-rays at least within individual slices. For example, the compression elements 104a and 104b may have, on the compression surfaces of the elements 104a, 104b, a curvature in the shape of an arc that shares the same center point CI as the imaging arc 116. This curvature is depicted more clearly in
An example of a breast compression element 300 is shown in multiple views shown in
In some implementations, the breast compression element 300 is surrounded by a flexible material 314. The flexible material 314 is generally a thin-film material and may be made from a variety of materials, e.g., a shrink-wrap material. In some examples, the flexible material 314 has a high tensile strength and limited stretching characteristics when surrounding the breast compression element 300. In an example, the flexible material 314 is in contact with and surrounds the right surface 306, the left surface 304, and the top surface 308. In such an example, the flexible material 314 spans from the right surface 306 to the left surface 304, defining a gap 316 between the flexible material 314 and the bottom surface 318. For instance, the flexible material 314 is spaced apart from the concave bottom surface 318 to define the gap 316. When the flexible material 314 spans from the right surface 306 to the left surface 306, the flexible material 314 is tensioned such that the portion of the flexible material 314 spaced apart from the concave bottom surface 318 is less flexible then when in a non-tensioned state, but without being rigid. In some examples, the flexible material 314 also surrounds the curved front surface 302. The flexible material 314 may also surround at least a portion of the back surface 310.
In operation, the breast compression element 300 is pressed against the breast such that the flexible material 114 first contacts the breast. In one embodiment, as the breast compression element 300 continues to compress the breast, the breast forces the flexible material 314 closer to the bottom surface 318 until the flexible material ultimately contacts the bottom surface 318, thus eliminating the gap 316. By having the flexible material 314 first contact the breast, patient comfort may increase and a more uniform compression may be achieved as the flexible material 314 contours to the shape of the breast during compression.
The shape of the breast compression element 300 also provides additional benefits in imaging systems. As can be seen from
The front surface 302 is shaped substantially as two half hemispheres connected by a partial semicylinder. One of the half-hemispheres is attached to the front of the left surface 304 and the other half-hemisphere is attached to the right surface 306. In some examples, the radius of the half-hemispheres RH is the same as the radius RS of the semicylindrical shape of the left surface 304 and the right surface 306, as shown in
The bottom surface 318 is a curved substantially smooth surface in the shape of an arc. As discussed above, the center point CB of the bottom surface 318 arc may be the same as the center point CI of the imaging arc. In such an example, the arc of the bottom surface 318 is concentric with the imaging arc. In another example, the curvature (kB) of the bottom surface 318 may be equal to the curvature (kI) of the imaging arc. In that example, the curvature (kB) of the bottom surface 318 is equal to the inverse of the arc radius RB of the bottom surface 318. In some examples, the curvature (kB) of the bottom surface, may be greater than or less than the curvature (kI) of the imaging arc. For instance, the ratio of the curvature (kB) of the bottom surface to the curvature (kI) of the imaging arc may be about 5:1 or greater. The bottom surface 318 is connected to the left surface 304, the right surface 306, the back surface 310, and the front surface 302.
The top surface 308 is a substantially planar surface connected to the left surface 304, the right surface 306, the back surface 310, and the front surface 302. In other examples, the top surface 308 may be a curved surface having a shape similar to the curved bottom surface 318. For instance, the top surface 308 may be arc-shaped with a center point of the top surface 308 arc being the same as the center point CI of the imaging system and the center point CB of the bottom surface 318. In such an example, the imaging are, the arc of the top surface 308, and the arc of the bottom surface 318 are all concentric. Thus, the thickness of the compression element 300 remains consistent for a larger portion of the breast compression element 300 relative to the imaging source as it sweeps across the imaging arc. In other examples, the top surface 308 may have a curvature (kT) equal to that of the curvature (kB) of the bottom surface 318 and/or the curvature (KI) of the imaging arc.
The compression element 300 is substantially free from sharp edges. For example, the transitions between the surfaces of the compression element 300 may all be smooth and therefore free from sharp edges. The transition between the left surface 304 and the top surface 308 occurs at the location where the tangent plane to the semicylindrical shape of the left surface 304 intersects and is parallel to the plane of the of the top surface 308. Similarly, the transition between the right surface 306 intersects and the top surface 308 occurs at the location where the tangent plane to the semicylindrical shape of the right surface 306 is parallel to the plane of the of the top surface 308. The transition between the front surface 302 and the top surface 308 occurs where the tangent planes of the half-hemisphere shapes and the partial semicylinder shape of the front surface 302 intersect and are parallel with the plane of the top surface 308. The transitions between the front surface 302 and the left surface 304 and the right surface 306, respectively, also occur at locations where the tangent plane of the semicylindrical shapes of the left surface 304 and the right surface 306 intersect and are parallel to the tangent planes of the half-hemisphere shapes of the front surface 302. Further, the transition between the front surface 302 and the bottom surface 318 occurs at a location such that the curvature of the bottom edge of the front surface 302 matches the curvature of the bottom surface 318. The transition between the front surface 302 and the bottom surface 318 is also at a location where the tangent plane of the partial semicylinder shape of the front surface is parallel to the tangent plane of the curved bottom surface 318. The transitions between the bottom surface 318 and the left surface 304 and the right surface 306, respectively, also occur at locations where the tangent plane of the semicylindrical shapes of the left surface 304 and the right surface 306 intersect and are parallel to the tangent planes of the curved bottom surface 318. Accordingly, each those transitions are smooth and do not include any sharp edges.
The smooth surfaces and transitions between the surfaces provide for additional comfort of the patient and improved image quality. For instance, the smooth curved bottom surface 318 allows for a more comfortable compression procedure for the patient. The smooth transitions between the surfaces also increase the comfort of the patient, particularly in systems that involve tilting of the imaging system, such as depicted in
The transitions between adjacent surfaces are described herein as smooth and substantially free from sharp edges. Sharp edges may cause areas of high stress on the shrink wrap that covers a significant portion of the breast compression element 300, thus increasing the likelihood of ripping. Further, sharp edges may also interfere with the x-ray radiation and cause discomfort for the patient. The smooth transitions reduce these undesired effects. In an example, a “sharp edge” may be defined as an intersection at a defined line or line segment of two essentially planar surfaces. In another example, a sharp edge may be defined as an edge between two surfaces where the angle between the tangent plane of the first surface and the tangent plane of the second surface is less than about 120 degrees at the location of intersection between first and second surfaces. For example, although majority of the various surfaces discussed above all intersect at location substantially free from sharp edges, the intersection between the back surface 310 and the back surfaces need not be a smooth transition. For instance, in the example depicted in
In examples where the flexible material 314 is a shrink-wrap material or other similar light-fitting material, the flexible material 314 may be applied to the compression element 300 prior to conducting a breast imaging procedure. Heat is then applied to the compression element 300 and the flexible material 314 to cause the flexible material to shrink and increase the tension of the portion of the flexible material 314 spanning the gap 316. In some examples, the heating process may occur at a time just prior to the breast imaging procedure in order to warm the breast compression element 300 to increase patient comfort as the breast is compressed. Additionally, the flexible material 314 is advantageously disposable. As such, after use with a first patient, the flexible material 314 may be removed and a new flexible material 314 may be applied for a subsequent patient. This may eliminate the need to clean or otherwise treat the surface of the breast compression element 300 between patients.
When the system is operated, image receptor 426 produces imaging information in response to illumination by imaging beam 422, and supplies it to image processor 434 for processing to generate breast x-ray images. A fluid control unit 436 connects with the compression paddle to provide warm air into the compression paddle 416 to increase the comfort of the patient, and/or heat or pressurize the flexible material surrounding the paddle, as described heat. In an example, the fluid control unit 436 connects via a quick-release snap-on connection 448. A system control and work station unit 438 controls the operation of the system and interacts with a user to receive commands and deliver information including processed-ray images.
Image processing with a compression paddle having a non-planar compression surface, however, raises additional challenges due to the shape of the paddle For instance, due to the shape of the paddle being non-planar or have in a non-uniformity on the compression surface, the breast is not compressed to a uniform thickness. Accordingly, radiation that passes through the curved paddle and the compressed breast is attenuated differently. As a result bright spots and non-uniformity of the resultant image occurs. The prevent technology provides for a solution for processing an image when using a curved paddle to correct for the differences in attenuations. As an example,
In some examples, the image processing techniques of the present technology involves generating a correction map for a particular curved paddle having a non-planar compression surface. The generation of the correction map may only need to be performed once for a particular curved paddle shape and imaging system. For instance, the same correction map may be utilized for all systems of a given type using the particular curved paddle. Once a correction map has been generated for the particular curved paddle, the correction map can be applied to raw image data or an image dataset taken of a breast compressed with the particular curved paddle to generate a corrected image. The correction map may also be adjusted for a particular scan configuration, such as tomosynthesis imaging, two-dimensional imaging, CT imaging, mediolateral-oblique imaging, craniocaudal (CC) imaging, or other imaging configurations and orientations, including combinations thereof.
Radiation, such as x-ray radiation, is passed through the filled paddle and the substantially radiolucent surface at operation 606. The radiation is then detected by the detector at operation 608. The emission and detection of radiation may occur during a standard 2D imaging mode. In some examples, an auto-kV mode may be used, but other modes may also be suitable. The radiation used for calibration or generation of the correction map may be at one or more of a scout exposure, a full mammographic exposure, or one or more tomosynthesis exposures. An image, or image data, is the generated form the detected radiation at operation 610. The image generated is indicative of the curved paddle shape. An example image produced at operation 610 is depicted in
From the image data produced in operation 610, an average pixel value is determined at operation 612. The average pixel value may be determined across the entire image. Based at least one average pixel value, the correction map is generated at operation 614. The correction map may be generated by dividing the pixel values of the image data generated in operation 610 by the average pixel value determined in operation 612 to generate a normalized correction map. In some examples, the correction map is further modified by generating a series of polynomial fits to represent the correction map. For instance, the correction map may be considered to be a matrix, where the elements of the matric represent correction values for a corresponding pixel of the detector. Each element of the matrix includes a value for scaling a brightness value of the corresponding pixel of the detector. Similarly, the correction map may also be considered to be a set of columns (x) of pixels or points and a rows (y) of pixels or points. In such an example, for each column (x), pixels along the rows (y) are selected. In selecting the pixels, some pixels may skipped, such as skipping by ten pixels for each selection. The values for the selected pixels are then in to a polynomial function, such as a 4th order polynomial. For each of the y-values, the polynomial fitting may be used to generate a fitted image or a fitted correction map. The fitted correction map may also be smoothed using an averaging technique, such as a boxcar averaging method. In addition, the smoothed, fitted correction map may be scaled down. In some examples, the scaling may be by a factor of 4 and may be done using decimation (e.g., skipping points). Other seating factors are contemplated. The scaled, smoothed, and fitted correction map may then be stored as a final correction map to be used in image processing. By fitting the correction map to a polynomial, image noise or other local irregularities are effectively removed from the final correction map. Once the correction map has been generated, it can be used to correct image data taken using the curved paddle for which the correction map was generated. For example, the image shown in
At operation 706, the image data received at operation 702 is corrected based on the correction map accessed in operation 704. In some examples, the image data is corrected based on the correction map as modified according to the techniques discussed above. The image data may be corrected or a pixel-by-pixel basis, the image may be corrected by multiplying or dividing the image data by the correction map. For instance, each pixel of the image data may be multiplied or divided by the corresponding pixel value in the correction map. The correction to the image data may also be a correction to the raw image data prior to generating an actual image of the breast being imaged. At operation 708, a corrected image is generated from the corrected image data. In some examples, such as with breast CT and/or tomosynthesis techniques, the corrected image may be part of an image dataset that includes a series of images. Generating the corrected image may also include displaying the corrected image on a display screen or other medium for viewing and analysis by a physician or technician.
In some instances, further correction to the image data may be desired for image areas near the chest wall, such as about 2 cm from the chest wall. For example, while the above corrections work well for imaging portions of the breast in contact with the paddle, the corrections may be further improved for portions of the breast not in contact with the paddle. When the breast is not in contact with the paddle, an air gap is formed between the breast and the paddle. The x-ray attenuation is therefore different for portions of the breast in contact with the paddle and portions of the breast not in contact with the paddle. Portions of the breast not in contact with the paddle generally occur near the chest wall. The additional correction for imaging the breast portions not in contact with the paddle may be referred to as an air area correction (AAC).
The AAC may be a further correction in addition to already utilized corrections or other image processing techniques to further help visualize the breast. As an example, the AAC may be a further correction to at least one of a multiscale image decomposition technique utilized in processing the image and skin line detection of correction techniques. For instance, the skin line correction may be utilized to equalize the pixel values near the skin edge in order to improve visualization of the breast near the skin line. The AAC may be an additional correction near the chest wall to correct for the brightness changes due to the air gap between the paddle and the breast. As an example, the AAC may utilize a correction based on the difference between the pixel value and a threshold value. For instance, the adjustment value may be based on a value, representing the difference between the pixel value and a threshold value, multiplied by a slope value at one or more image decomposition scales. In addition, the slope may be represented by a weighting factor function based on the pixel location. After the AAC correction according to the above techniques, the attenuation in the small local vertical area near the chest wall is corrected and the final processed images do not appear as having a non-uniformity, such as a slightly dark area, near the chest wall.
At operation 802, image data is received for an image of the breast. The image data may be received from a detector. At operation 804, pixel values in the image data are identified. In some examples, an average pixel value may also be determined. Based on the pixel values in the image data, a low frequency correction is determined at operation 806. The low frequency collection may be generated in the form of a correction map or a low frequency function. The low frequency correction is to correct for the background variations in brightness, while not obscuring any of the higher detail elements of the image, such as vascular elements or other tissue composition of the breast. Based on the low frequency correction, a corrected image may then be generated in operation 808.
In its most basic configuration, operating environment 1400 typically includes at least one processing unit 1402 and memory 1404. Depending on the exact configuration and type of computing device, memory 1404 (storing, among other things, instructions to perform the measurement acquisition, processing and visual representation generation methods disclosed herein) can be volatile (such as RAM), non-volatile (such as ROM, flash memory, etc.), or some combination of the two. This most basic configuration is illustrated in
Operating environment 1400 typically includes at least some form of computer readable media. Computer readable media can be any available media that can be accessed by processing unit 1402 or other devices comprising the operating environment. By way of example, and not limitation, computer readable media can comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, solid state storage, or any other tangible and non-transitory medium which can be used to store the desired information.
Communication media embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer readable media.
The operating environment 1400 can be a single computer operating in a networked environment using logical connections to one or more remote computers. The remote computer can be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above as well as others not so mentioned. The logical connections can include any method supported by available communications media. Such networking environments are commonplace in hospitals, offices, enterprise-wide computer networks, intranets and the Internet.
In some examples, the components described herein comprise such modules or instructions executable by computer system 1400 that can be stored on computer storage medium and other tangible mediums and transmitted in communication media. Computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules, or other data. Combinations of any of the above should also be included within the scope of readable media. In some examples, computer system 1400 is part of a network that stores data in remote storage media for use by the computer system 1400.
In examples, processing of data and performance of the methods described herein may be accomplished with the use of one or more server devices. For example, in one example, a single server, such as server 1504 may be employed to assist in processing data and performing the methods disclosed herein. Client device 1502 may interact with server 1504 via network 1508. In further examples, the client device 1502 may also perform functionality disclosed herein, such as scanning and processing data, which can then be provided to servers 1504 and/or 1506.
In alternate examples, the methods disclosed herein may be performed using a distributed computing network, or a cloud network. In such examples, the methods disclosed herein may be performed by two or more servers, such as servers 1504 and 1506. Although a particular network example is disclosed herein, one of skill in the art will appreciate that the systems and methods disclosed herein may be performed using other types of networks and/or network configurations. Further, the data sent to the servers and received from the servers may be encrypted. The data may also be stored in an encrypted manner both locally and on the servers.
This disclosure described some examples of the present technology with reference to the accompanying drawings, in which only some of the possible examples were shown. Other aspects can, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein. Rather, these examples were provided so that this disclosure was thorough and complete and fully conveyed the scope of the possible examples to those skilled in the art.
Although specific examples were described herein, the scope of the technology is not limited to those specific examples. One skilled in the art will recognize other examples or improvements that are within the scope of the present technology. Therefore, the specific structure, acts, or media are disclosed only as illustrative examples. Examples according to the technology may also combine elements or components of those that are disclosed in general but not expressly exemplified in combination, unless otherwise stated herein. The scope of the technology is defined by the following claims and any equivalents therein.
This application is a continuation of U.S. patent application Ser. No. 16/348,343, now U.S. Pat. No. 10,888,292, titled “Imaging with Curved Compression Elements” and filed on May 8, 2019, which is a 371 of PCT International Application No. PCT/US2017/053311, titled “Imaging with Curved Compression Elements” and filed on Sep. 25, 2017, which claims priority to: (1) U.S. Provisional Application No. 62/419,336, titled “Breast Compression Paddle” and filed on Nov. 8, 2016, and (2) U.S. Provisional Application No. 62/531,807, titled “Image Processing For Curved Paddles” and filed on Jul. 12, 2017, both of which are incorporated by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
3971950 | Evans et al. | Jul 1976 | A |
4496557 | Malen | Jan 1985 | A |
4943986 | Barbarisi | Jul 1990 | A |
5051904 | Griffith | Sep 1991 | A |
5199056 | Darrah | Mar 1993 | A |
5359637 | Webber | Oct 1994 | A |
5398272 | Bouscary et al. | Mar 1995 | A |
5506877 | Niklason | Apr 1996 | A |
5553111 | Moore et al. | Sep 1996 | A |
D376012 | Hixson, Sr. | Nov 1996 | S |
5706327 | Adamkowski | Jan 1998 | A |
6289235 | Webber | Sep 2001 | B1 |
6647092 | Eberhard | Nov 2003 | B2 |
7123684 | Jing et al. | Oct 2006 | B2 |
7203348 | Karssemeijer | Apr 2007 | B1 |
7245694 | Jing et al. | Jul 2007 | B2 |
7430272 | Jing et al. | Sep 2008 | B2 |
7583786 | Jing et al. | Sep 2009 | B2 |
7831296 | Defreitas | Nov 2010 | B2 |
7869563 | Defreitas et al. | Jan 2011 | B2 |
8175219 | DeFreitas et al. | May 2012 | B2 |
8787522 | Smith et al. | Jul 2014 | B2 |
9050009 | Den Heeten | Jun 2015 | B2 |
9226718 | Baxley | Jan 2016 | B1 |
9332947 | DeFreitas et al. | May 2016 | B2 |
9498180 | Ren et al. | Nov 2016 | B2 |
9743997 | Grimbergen | Aug 2017 | B2 |
9782135 | Stango et al. | Oct 2017 | B2 |
9826950 | Den Heeten | Nov 2017 | B2 |
10603002 | Stango | Mar 2020 | B2 |
10888292 | Stango | Jan 2021 | B2 |
20010038861 | Hsu | Nov 2001 | A1 |
20020061090 | Lindstrom | May 2002 | A1 |
20030007597 | Higgins et al. | Jan 2003 | A1 |
20040066882 | Eberhard | Apr 2004 | A1 |
20040066884 | Claus | Apr 2004 | A1 |
20040066904 | Eberhard | Apr 2004 | A1 |
20040218727 | Shoenfeld | Nov 2004 | A1 |
20050008117 | Livingston | Jan 2005 | A1 |
20050063509 | DeFreitas et al. | Mar 2005 | A1 |
20050113681 | DeFreitas et al. | May 2005 | A1 |
20050113683 | Lokhandwalla et al. | May 2005 | A1 |
20060165215 | Galkin | Jul 2006 | A1 |
20070223652 | Galkin | Sep 2007 | A1 |
20070242794 | Stanton | Oct 2007 | A1 |
20070280412 | Defreitas et al. | Dec 2007 | A1 |
20080043904 | Hoernig | Feb 2008 | A1 |
20080080668 | Kashiwagi | Apr 2008 | A1 |
20080087830 | Kashiwagi | Apr 2008 | A1 |
20080242979 | Fischer et al. | Oct 2008 | A1 |
20090262887 | Iordache et al. | Oct 2009 | A1 |
20090268865 | Ren | Oct 2009 | A1 |
20090324049 | Kontos et al. | Dec 2009 | A1 |
20100046698 | Lebovic et al. | Feb 2010 | A1 |
20100049093 | Galkin | Feb 2010 | A1 |
20100111249 | Mertelmeier | May 2010 | A1 |
20110058724 | Claud | Mar 2011 | A1 |
20110087098 | Fischer et al. | Apr 2011 | A1 |
20110257919 | Reiner | May 2011 | A1 |
20120033868 | Ren | Feb 2012 | A1 |
20120051522 | Nishino | Mar 2012 | A1 |
20120114095 | Smith et al. | May 2012 | A1 |
20120277625 | Nakayama | Nov 2012 | A1 |
20130012837 | Kogure | Jan 2013 | A1 |
20130028499 | Tsujii | Jan 2013 | A1 |
20130272493 | Otokuni | Oct 2013 | A1 |
20140107493 | Yuen | Apr 2014 | A1 |
20140296701 | Hancu et al. | Oct 2014 | A1 |
20140328458 | Erhard et al. | Nov 2014 | A1 |
20140378816 | Oh | Dec 2014 | A1 |
20150272682 | Sheng | Oct 2015 | A1 |
20150282770 | Klanian et al. | Oct 2015 | A1 |
20160066875 | Jacob et al. | Mar 2016 | A1 |
20160081633 | Stango et al. | Mar 2016 | A1 |
20160183889 | Matsuura | Jun 2016 | A1 |
20160242707 | Defreitas et al. | Aug 2016 | A1 |
20170251991 | Wang | Sep 2017 | A1 |
20170340303 | Stango | Nov 2017 | A1 |
20180165840 | Bernard | Jun 2018 | A1 |
20180184999 | Davis | Jul 2018 | A1 |
20200069274 | Stango | Mar 2020 | A1 |
20200178926 | Kshirsagar | Jun 2020 | A1 |
20200196971 | Laviola | Jun 2020 | A1 |
20200359974 | DeFreitas | Nov 2020 | A1 |
20200359975 | Banks | Nov 2020 | A1 |
20200390405 | DeFreitas | Dec 2020 | A1 |
20210015435 | DeFreitas | Jan 2021 | A1 |
20210228165 | Defreitas | Jul 2021 | A1 |
20220087627 | Stango | Mar 2022 | A1 |
Number | Date | Country |
---|---|---|
2008201638 | May 2008 | AU |
1586399 | Mar 2005 | CN |
102196772 | Sep 2011 | CN |
102448375 | May 2012 | CN |
102781328 | Nov 2012 | CN |
103281961 | Sep 2013 | CN |
104066374 | Sep 2014 | CN |
105286904 | Feb 2016 | CN |
105637562 | Jun 2016 | CN |
105769236 | Jul 2016 | CN |
112004473 | Nov 2020 | CN |
115348838 | Nov 2022 | CN |
955886 | Nov 1999 | EP |
2341832 | Jul 2014 | EP |
2943125 | Sep 2018 | EP |
S53-103672 | Aug 1978 | JP |
H03-86154 | Apr 1991 | JP |
2003-525681 | Sep 2003 | JP |
2005-523043 | Aug 2005 | JP |
2009-219656 | Oct 2009 | JP |
8-215172 | Mar 2010 | JP |
2011-072667 | Apr 2011 | JP |
2011-206436 | Oct 2011 | JP |
2011-224351 | Nov 2011 | JP |
2011-250842 | Dec 2011 | JP |
2012-125536 | Jul 2012 | JP |
2012-170718 | Sep 2012 | JP |
2012-228404 | Nov 2012 | JP |
2013017491 | Jan 2013 | JP |
2014-068884 | Apr 2014 | JP |
2014-068885 | Apr 2014 | JP |
2015-027382 | Feb 2015 | JP |
2016-022061 | Feb 2016 | JP |
2016-517740 | Jun 2016 | JP |
10-2011-0089446 | Aug 2011 | KR |
10-2014-0058066 | May 2014 | KR |
2020910 | Nov 2019 | NL |
2006050466 | May 2006 | WO |
2010028208 | Mar 2010 | WO |
2010102087 | Sep 2010 | WO |
2011058730 | May 2011 | WO |
2014059366 | Apr 2014 | WO |
2014074602 | May 2014 | WO |
2014176445 | Oct 2014 | WO |
2015054518 | Apr 2015 | WO |
2016073445 | May 2016 | WO |
2018067005 | Apr 2018 | WO |
2018089118 | May 2018 | WO |
2018170265 | Sep 2018 | WO |
2019004821 | Jan 2019 | WO |
2019088826 | May 2019 | WO |
20190227042 | Nov 2019 | WO |
20190227044 | Nov 2019 | WO |
Entry |
---|
US 5,107,525 A, 04/1992, Shiraishi (withdrawn) |
European Communication and Search Report in Application 18847121.3, dated Apr. 8, 2021, 5 pages. |
European Extended Search Report in Application 18843788.3, dated Mar. 29, 2021, 16 pages. |
European Extended Search Report in Application 18843590.3, dated Mar. 25, 2021,9 pages. |
Japanese Rejection in Application 2019-521374, dated Jul. 26, 2021, 5 pages. |
European Extended Search Report in Application 21168311.5, dated Jul. 13, 2021, 7 pages. |
Digital Clinical Reports, Tomosynthesis (GE Brochure 98-5493, Nov. 1998), 8 pgs. |
European Extended Search Report in Application 15857678.5, dated Jun. 26, 2018, 8 pages. |
Grant, D.G., “Tomosynthesis: a three-dimensional imaging technique”, IEEE Trans. Biomed. Engineering, vol. BME-19, #1, (Jan. 1972), pp. 20-28. |
PCT International Preliminary Report on Patentability in International Application PCT/IB2018/056208, dated Feb. 27, 2020, 10 pages. |
PCT International Preliminary Report on Patentability in International Application PCT/US2015/058782, dated May 18, 2017, 10 pgs. |
PCT International Preliminary Report on Patentability in International Application PCT/US2017/053311, dated May 14, 2019, 14 pgs. |
PCT International Preliminary Report on Patentability in International Application PCT/US2018/046304, dated Feb. 11, 2020, 14 pgs. |
PCT International Preliminary Report on Patentability in International Application PCT/US2018/046312, dated Feb. 11, 2020, 12 pgs. |
PCT International Search Report and Written Opinion in International Application PCT/IB2018/056208, dated Nov. 13, 2018, 12 pages. |
PCT International Search Report and Written Opinion of the International Searching Authority for corresponding International Patent Application No. PCT/US2015/058782 dated Feb. 17, 2016, 14 pgs. |
PCT International Search Report and Written Opinion of the International Searching Authority for International Patent Application No. PCT/US2017/053311 dated Mar. 6, 2018, 21 pages. |
PCT International Search Report and Written Opinion of the International Searching Authority for International Patent Application No. PCT/US2018/046304 dated Dec. 11, 2018, 18 pages. |
PCT International Search Report and Written Opinion of the International Searching Authority for International Patent Application No. PCT/US2018/046312 dated Dec. 11, 2018, 14 pages. |
U.S. Appl. No. 60/628,516 entitled “Matching geometry generation and display of mammograms and tomosynthesis images”, filed Nov. 15, 2004, 20 pgs. |
PCT Invitation to Pay additional Fees, in Application PCT/US2021/013716, dated May 6, 2021, 17 pages. |
PCT International Search Report and Written Opinion in International Application PCT/US2021/013716, dated Jun. 28, 2021, 24 pages. |
Number | Date | Country | |
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20210113169 A1 | Apr 2021 | US |
Number | Date | Country | |
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62531807 | Jul 2017 | US | |
62419336 | Nov 2016 | US |
Number | Date | Country | |
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Parent | 16348343 | US | |
Child | 17119631 | US |