Advances in technology have provided advances in imaging capabilities for medical use. One area that has enjoyed some of the most beneficial advances is that of endoscopic surgical procedures because of the advances in the components that make up an endoscope.
The disclosure relates generally to electromagnetic sensing and sensors in relation to creating a video stream having chrominance and luminance pulses from a controlled light source. The features and advantages of the disclosure will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by the practice of the disclosure without undue experimentation. The features and advantages of the disclosure may be realized and obtained by means of the instruments and combinations particularly pointed out herein.
Non-limiting and non-exhaustive implementations of the disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified. Advantages of the disclosure will become better understood with regard to the following description and accompanying drawings.
The disclosure extends to methods, systems, and computer based products for digital imaging that may be primarily suited to medical applications. In the following description of the disclosure, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific implementations in which the disclosure may be practiced. It is understood that other implementations may be utilized and structural changes may be made without departing from the scope of the disclosure.
Luminance-chrominance based color spaces date back to the advent of color television, when color image transmission was required to be compatible with older monochrome CRTs. The luminance component corresponds to the (color-agnostic) brightness aspect of the image data. The color information is carried in the remaining two channels. The separation of image data into the luminance and chrominance components is still an important process in modern digital imaging systems, since it is closely related to the human visual system.
The human retina contains arrays of two basic photoreceptor cell types; rods and cones. The rods provide the brightness information and have about a factor-20 greater overall spatial density than the cones. The cones are much less sensitive and there are three basic types, having peak responses at three different wavelengths. The spectral response of the rods, which peaks in the green region, is the basis for computing luminance color-space conversion coefficients. Since rods have the greater density, the spatial resolution of an image representation is much more important for the luminance component than for either chrominance component. Camera designers and image processing engineers seek to account for this fact in several ways, e.g., by spatially filtering the chrominance channels to reduce noise and by affording greater relative system bandwidth to luminance data.
In describing the subject matter of the disclosure, the following terminology will be used in accordance with the definitions set out below.
It must be noted that, as used in this specification, the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise.
As used herein, the terms “comprising,” “including,” “containing,” “characterized by,” and grammatical equivalents thereof are inclusive or open-ended terms that do not exclude additional, unrecited elements or method steps.
As used herein, the phrase “consisting of” and grammatical equivalents thereof exclude any element or step not specified.
As used herein, the phrase “consisting essentially of” and grammatical equivalents thereof limit the scope of a claim, if any, to the specified materials or steps and those that do not materially affect the basic and novel characteristic or characteristics of the claimed disclosure.
As used herein, the term “proximal” shall refer broadly to the concept of a portion nearest an origin.
As used herein, the term “distal” shall generally refer to the opposite of proximal, and thus to the concept of a portion farther from an origin, or a furthest portion, depending upon the context.
Referring now to the figures,
An example illumination sequence is a repeating pattern of four frames (R-G-B-G). As for the Bayer pattern of color filters, this provides for greater luminance detail than chrominance. This approach is accomplished by strobing the scene with either laser or light-emitting diodes at high speed, under the control of the camera system, and by virtue of a specially designed CMOS sensor with high speed readout. The principal benefit is that the sensor can accomplish the same spatial resolution with significantly fewer pixels compared with conventional Bayer or 3-sensor cameras. Therefore, the physical space occupied by the pixel array may be reduced. The actual pulse periods may differ within the repeating pattern, as illustrated in
The facility to reduce the CMOS sensor chip-area to the extent allowed by combining all of these methods is particularly attractive for small diameter (˜3-10 mm) endoscopy. In particular, it allows for endoscope designs in which the sensor is located in the space-constrained distal end, thereby greatly reducing the complexity and cost of the optical section, while providing high definition video. A consequence of this approach is that to reconstruct each final, full color image, requires that data be fused from three separate snapshots in time. Any motion within the scene, relative to the optical frame of reference of the endoscope, will generally degrade the perceived resolution, since the edges of objects appear at slightly different locations within each captured component. In this disclosure, a means of diminishing this issue is described which exploits the fact that spatial resolution is much more important for luminance information, than for chrominance.
The basis of the approach is that, instead of firing monochromatic light during each frame, combinations of the three wavelengths are used to provide all of the luminance information within a single image. The chrominance information is derived from separate frames with, e.g., a repeating pattern such as Y-Cb-Y—Cr. While it is possible to provide pure luminance data by a shrewd choice of pulse ratios, the same is not true of chrominance. However, a workaround for this is presented in this disclosure.
In an embodiment, as illustrated in
In an embodiment, as illustrated in
In an embodiment, as illustrated in
Essentially there are three monochromatic pulsed light sources under the fast control of the camera and a special design of monochromatic CMOS image sensor which enables high final progressive video rates of 60 Hz or more. Periodic sequences of monochromatic red, green and blue frames are captured, e.g., with an R-G-B-G pattern, and assembled into sRGB images in the image signal processor chain (ISP). The light-pulse and sensor readout timing relationship is shown in
It will be appreciated that other color space conversion standards may be implemented by the disclosure, including but not limited to, ITU-R BT.709 HD standard, ITU-R BT.601 standard, and ITU-R BT.2020 standard.
If white balance is being performed in the illumination domain, then this modulation is imposed in addition to the white balance modulation.
To complete a full color image requires that the two components of chrominance also be provided. However, the same algorithm that was applied for luminance cannot be directly applied for chrominance images since it is signed, as reflected in the fact that some of the RGB coefficients are negative. The solution to this is to add a degree of luminance of sufficient magnitude that all of the final pulse energies become positive. As long as the color fusion process in the ISP is aware of the composition of the chrominance frames, they can be decoded by subtracting the appropriate amount of luminance from a neighboring frame. The pulse energy proportions are given by:
The timing for the general case is shown in
Referring now to
An inherent property of the monochrome wide dynamic range array is that the pixels that have the long integration time must integrate a superset of the light seen by the short integration time pixels. Co-pending U.S. patent application Ser. No. 13/952,564 entitled WIDE DYNAMIC RANGE USING MONOCHROMATIC SENSOR is hereby incorporated by this reference into this disclosure as if fully set forth herein. For regular wide dynamic range operation in the luminance frames, that is desirable. For the chrominance frames it means that the pulsing must be controlled in conjunction with the exposure periods so as to provide, e.g., λY+Cb from the start of the long exposure and switch to δY+Cr at the point that the short pixels are turned on (both pixel types have their charges transferred at the same time). During color fusion, this would be accounted for.
A typical ISP involves first taking care of any necessary sensor and optical corrections (such as defective pixel elimination, lens shading etc.), then in turn; white balance, demosaic/color fusion and color correction.
Before finally applying gamma to place the data in the standard sRGB space, there might typically be some operations (e.g., edge enhancement) and/or adjustments (e.g., saturation) performed in an alternative color space such as YCbCr or HSL.
In the case of the Y-Cb-Y—Cr pulsing scheme, the image data is already in the YCbCr space following the color fusion. Therefore, in this case it makes sense to perform luminance and chrominance based operations up front, before converting back to linear RGB to perform the color correction etc. See
The color fusion process is more straightforward than de-mosaic, which is necessitated by the Bayer pattern, since there is no spatial interpolation. It does require buffering of frames though in order to have all of the necessary information available for each pixel, as indicated in
The linear Y, Cb and Cr components for each pixel may be computed thus:
Where xi,n is the input data for pixel i in frame n, m is the pipeline bit-width of the ISP and K is the ISP black offset level at the input to the color fusion block, (if applicable). Since chrominance is signed it is conventionally centered at 50% of the digital dynamic range (2m-1).
If two exposures are used to provide both chrominance components in the same frame as described earlier, the two flavors of pixel are separated into two buffers. The empty pixels are then filled in using, e.g., linear interpolation. At this point, one buffer contains a full image of δY+Cr data and the other; δY+Cr+λY+Cb. The δY+Cr buffer is subtracted from the second buffer to give λY+Cb. Then the appropriate proportion of luminance data from the Y frames is subtracted out for each.
Implementations of the disclosure may comprise or utilize a special purpose or general-purpose computer including computer hardware, such as, for example, one or more processors and system memory, as discussed in greater detail below. Implementations within the scope of the disclosure may also include physical and other computer-readable media for carrying or storing computer-executable instructions and/or data structures. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer system. Computer-readable media that store computer-executable instructions are computer storage media (devices). Computer-readable media that carry computer-executable instructions are transmission media. Thus, by way of example, and not limitation, implementations of the disclosure can comprise at least two distinctly different kinds of computer-readable media: computer storage media (devices) and transmission media.
Computer storage media (devices) includes RAM, ROM, EEPROM, CD-ROM, solid state drives (“SSDs”) (e.g., based on RAM), Flash memory, phase-change memory (“PCM”), other types of memory, other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer.
A “network” is defined as one or more data links that enable the transport of electronic data between computer systems and/or modules and/or other electronic devices. In an implementation, a sensor and camera control unit may be networked in order to communicate with each other, and other components, connected over the network to which they are connected. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computer, the computer properly views the connection as a transmission medium. Transmissions media can include a network and/or data links which can be used to carry desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer. Combinations of the above should also be included within the scope of computer-readable media.
As can be seen in
Computer-executable instructions comprise, for example, instructions and data which, when executed at a processor, cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, or even source code. Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined herein is not necessarily limited to the described features or acts described above. Rather, the described features and acts are disclosed as examples.
Those skilled in the art will appreciate that the disclosure may be practiced in network computing environments with many types of computer system configurations, including, personal computers, desktop computers, laptop computers, message processors, control units, camera control units, hand-held devices, hand pieces, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, tablets, pagers, routers, switches, various storage devices, and the like. It should be noted that any of the above mentioned computing devices may be provided by or located within a brick and mortar location. The disclosure may also be practiced in distributed system environments where local and remote computer systems, which are linked (either by hardwired data links, wireless data links, or by a combination of hardwired and wireless data links) through a network, both perform tasks. In a distributed system environment, program modules may be located in both local and remote memory storage devices.
Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) or field programmable gate arrays can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.
Computing device 100 includes one or more processor(s) 102, one or more memory device(s) 104, one or more interface(s) 106, one or more mass storage device(s) 108, one or more Input/Output (I/O) device(s) 110, and a display device 130 all of which are coupled to a bus 112. Processor(s) 102 include one or more processors or controllers that execute instructions stored in memory device(s) 104 and/or mass storage device(s) 108. Processor(s) 102 may also include various types of computer-readable media, such as cache memory.
Memory device(s) 104 include various computer-readable media, such as volatile memory (e. g., random access memory (RAM) 114) and/or nonvolatile memory (e.g., read-only memory (ROM) 116). Memory device(s) 104 may also include rewritable ROM, such as Flash memory.
Mass storage device(s) 108 include various computer readable media, such as magnetic tapes, magnetic disks, optical disks, solid-state memory (e.g., Flash memory), and so forth. As shown in
I/O device(s) 110 include various devices that allow data and/or other information to be input to or retrieved from computing device 100. Example I/O device(s) 110 include digital imaging devices, electromagnetic sensors and emitters, cursor control devices, keyboards, keypads, microphones, monitors or other display devices, speakers, printers, network interface cards, modems, lenses, CCDs or other image capture devices, and the like.
Display device 130 includes any type of device capable of displaying information to one or more users of computing device 100. Examples of display device 130 include a monitor, display terminal, video projection device, and the like.
Interface(s) 106 include various interfaces that allow computing device 100 to interact with other systems, devices, or computing environments. Example interface(s) 106 may include any number of different network interfaces 120, such as interfaces to local area networks (LANs), wide area networks (WANs), wireless networks, and the Internet. Other interface(s) include user interface 118 and peripheral device interface 122. The interface(s) 106 may also include one or more user interface elements 118. The interface(s) 106 may also include one or more peripheral interfaces such as interfaces for printers, pointing devices (mice, track pad, etc.), keyboards, and the like.
Bus 112 allows processor(s) 102, memory device(s) 104, interface(s) 106, mass storage device(s) 108, and I/O device(s) 110 to communicate with one another, as well as other devices or components coupled to bus 112. Bus 112 represents one or more of several types of bus structures, such as a system bus, PCI bus, IEEE 1394 bus, USB bus, and so forth.
For purposes of illustration, programs and other executable program components are shown herein as discrete blocks, although it is understood that such programs and components may reside at various times in different storage components of computing device 100, and are executed by processor(s) 102. Alternatively, the systems and procedures described herein can be implemented in hardware, or a combination of hardware, software, and/or firmware. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein.
It will be appreciated that the teachings and principles of the disclosure may be used in a reusable device platform, a limited use device platform, a re-posable use device platform, or a single-use/disposable device platform without departing from the scope of the disclosure. It will be appreciated that in a re-usable device platform an end-user is responsible for cleaning and sterilization of the device. In a limited use device platform the device can be used for some specified amount of times before becoming inoperable. Typical new device is delivered sterile with additional uses requiring the end-user to clean and sterilize before additional uses. In a re-posable use device platform a third-party may reprocess the device (e.g., cleans, packages and sterilizes) a single-use device for additional uses at a lower cost than a new unit. In a single-use/disposable device platform a device is provided sterile to the operating room and used only once before being disposed of.
Additionally, the teachings and principles of the disclosure may include any and all wavelengths of electromagnetic energy, including the visible and non-visible spectrums, such as infrared (IR), ultraviolet (UV), and X-ray.
In an embodiment, a method for digital imaging for use with an endoscope in ambient light deficient environments may comprise: actuating an emitter to emit a plurality of pulses of electromagnetic radiation to cause illumination within the light deficient environment, wherein said pulses comprise a first pulse that is within a first wavelength range that comprises a first portion of electromagnetic spectrum, wherein said pulses comprise a second pulse that is within a second wavelength range that comprises a second portion of electromagnetic spectrum, wherein said pulses comprise a third pulse that is with is a third wavelength range that comprises a third portion of electromagnetic spectrum; pulsing said plurality of pulses at a predetermined interval; sensing reflected electromagnetic radiation from said pulses with a pixel array to create a plurality of image frames, wherein said pixel array is read at an interval that corresponds to the pulse interval of said laser emitter; and creating a stream of images by combining the plurality of image frames to form a video stream. In an embodiment, said first pulse comprises chrominance red. In an embodiment, said second pulse comprises chrominance blue. In an embodiment, said third pulse comprises a luminance pulse. In an embodiment, said luminance pulse is created by pulsing a red pulse and a blue pulse and a green pulse. In such an embodiment, said red pulse is modulated relative to the blue and green pulse such that the red pulse has a positive chrominance value. In an embodiment, said blue pulse is modulated relative to the red and green pulse such that the blue pulse has a positive chrominance value. In an embodiment, said green pulse is modulated relative to the blue and red pulse such that the green pulse has a positive chrominance value. In an embodiment, the method further comprises modulating the plurality of pulses by a value such that the chrominance value of each pulse is positive. In an embodiment, the method further comprises removing pulse modulation values from during image stream construction. In such an embodiment, the process of modulating comprises adding a luminance value to the plurality of pulses. In an embodiment, the luminance value for modulation is an integer that is a multiple of (½)8. In an embodiment, a luminance value for modulation of 0.552 cancels out red chrominance and green chrominance. In an embodiment, a luminance value for modulation of 0.650 cancels out blue chrominance and green chrominance. In an embodiment, the method further comprises reducing noise while creating the stream of image frames. In an embodiment, the method further comprises adjusting white balance while creating the stream of mage frames. In an embodiment, said third pulse is a luminance pulse that is pulses twice as often as the first and second pulses. In an embodiment, said luminance pulse is sensed by long exposure pixel and short exposure pixels within a pixel array. In an embodiment, the method further comprises sensing data generated by a plurality of pixel arrays and combining said data into a three dimensional image stream.
It will be appreciated that various features disclosed herein provide significant advantages and advancements in the art. The following embodiments are exemplary of some of those features.
In the foregoing Detailed Description of the Disclosure, various features of the disclosure are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the disclosure requires more features than are expressly recited in each claim, if any. Rather, inventive aspects lie in less than all features of a single foregoing disclosed embodiment.
It is to be understood that the above-described arrangements are only illustrative of the application of the principles of the disclosure. Numerous modifications and alternative arrangements may be devised by those skilled in the art without departing from the spirit and scope of the disclosure.
Thus, while the disclosure has been shown in the drawings and described above with particularity and detail, it will be apparent to those of ordinary skill in the art that numerous modifications, including, but not limited to, variations in size, materials, shape, form, function and manner of operation, assembly and use may be made without departing from the principles and concepts set forth herein.
Further, where appropriate, functions described herein can be performed in one or more of: hardware, software, firmware, digital components, or analog components. For example, one or more application specific integrated circuits (ASICs) can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description to refer to particular system components. As one skilled in the art will appreciate, components may be referred to by different names. This document does not intend to distinguish between components that differ in name, but not function.
This application is a continuation of U.S. application Ser. No. 15/369,170, filed on Dec. 5, 2016 (now U.S. Pat. No. 9,762,879, issued Sep. 12, 2017), which is a division of U.S. application Ser. No. 13/952,570, filed on Jul. 26, 2013 (now U.S. Pat. No. 9,516,239, issued Dec. 6, 2016) and claims the benefit of U.S. Provisional Patent Application No. 61/676,289, filed on Jul. 26, 2012, and U.S. Provisional Patent Application No. 61/790,487, filed on Mar. 15, 2013, and U.S. Provisional Patent Application No. 61/790,719, filed on Mar. 15, 2013 and U.S. Provisional Patent Application No. 61/791,473, filed on Mar. 15, 2013, which are hereby incorporated by reference herein in their entireties, including but not limited to those portions that specifically appear hereinafter, the incorporation by reference being made with the following exception: In the event that any portion of the above-referenced applications is inconsistent with this application, this application supersedes said above-referenced applications.
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61676289 | Jul 2012 | US | |
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Parent | 13952570 | Jul 2013 | US |
Child | 15369170 | US |
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Parent | 15369170 | Dec 2016 | US |
Child | 15701264 | US |