Patent Grant
11574412
Advances in technology have provided advances in imaging capabilities for medical use. An endoscope may be used to look inside a body and examine the interior of an organ or cavity of the body. Endoscopes may be used for investigating a patient's symptoms, confirming a diagnosis, or providing medical treatment. A medical endoscope may be used for viewing a variety of body systems and parts, including for example, the gastrointestinal tract, the respiratory tract, the urinary tract, the abdominal cavity by way of a small incision, and so forth. Endoscopes may further be used for surgical procedures, such as plastic surgery procedures, procedures performed on joints or bones, procedures performed on the neurological system, procedures performed within the abdominal cavity, and so forth.
Endoscopes have also been used in non-medical fields for viewing and inspecting spaces that may be inaccessible or difficult to see. For example, endoscopes may be used by planners or architects for visualizing scale models of proposed buildings or cities. Endoscopes may be used for visualizing an internal space of a complex system such as a computer. Endoscopes may even be used by law enforcement or military personnel for conducting surveillance in tight spaces or examining explosive devices. Further, endoscopic imaging may be used by a computer-implemented program for executing robotic medical procedures. Particularly in such implementations, it may be beneficial to track the position of an object during endoscopic imaging. The object may include the endoscope itself, a medical device, a tissue or structure in the body, and so forth.
Among the various uses for endoscopes, it may be beneficial to view a space in color. A digital color image may include at least three layers, or “color channels,” for each pixel of the image. Each of the color channels measures the intensity and chrominance of light for a spectral band. Commonly, a digital color image includes a color channel for red, green, and blue spectral bands of light (this may be referred to as an RGB image). Each of the red, green, and blue color channels include brightness information for the red, green, or blue spectral band of light. The brightness information for the separate red, green, and blue layers may be combined to create a digital color image. Because a color image is made up of separate layers, a digital camera image sensor commonly includes a color filter array that permits red, green, and blue visible light wavelengths to hit selected pixel sensors. Each individual pixel sensor element is made sensitive to red, green, or blue wavelengths and will only return image data for that wavelength. The image data from the total array of pixel sensors is combined to generate the RGB image.
In the case of endoscopic imaging for medical diagnostics or medical procedures, it may be beneficial or even necessary to view a body cavity with color images. For example, if an endoscope is used to view the abdominal cavity of a body, a color image may provide valuable information to help identify different organs or tissues within the abdomen, or to identify certain conditions or diseases within the space. As discussed above, a digital camera capable of capturing color images may have at least three distinct types of pixel sensors to individually capture the red, green, and blue layers of the color images. The at least three distinct types of pixel sensors may consume a relatively significant physical space (when compared with a color-agnostic pixel array) such that the complete pixel array cannot fit on the small distal end of the endoscope that is inserted into the body. Because color digital cameras may include the at least three distinct types of pixel sensors, the total pixel array (i.e. the image sensor) is commonly located in a hand-piece unit of an endoscope that is held by an endoscope operator and is not placed within the body cavity. For such an endoscope, light is transmitted along the length of the endoscope from the hand-piece unit to the distal end of the endoscope that is placed within the body cavity. This endoscope configuration has significant limitations. Endoscopes with this configuration are delicate and can be easily misaligned or damaged when bumped or impacted during regular use. This can significantly degrade the quality of the images generated by the endoscope and necessitate that the endoscope be frequently repaired or replaced.
Endoscopic imaging may be used to guide a medical practitioner during a medical procedure such as a diagnostic imaging procedure or a surgical procedure. Further in some implementations, it may be desirable to execute a computer-implemented robotic surgery using endoscopic imaging and endoscopic medical devices. In both instances it may be desirable to determine precise measurements indicating distances and/or angles between, for example, structures in the body, devices or tools in the body cavity, and critical structures in the body. Such measurements can improve the outcome of endoscopic procedures and may be necessary in the case of robotic endoscopic procedures.
Various measurement systems and methods exist in the art for applications in archaeology, geography, atmospheric physics, autonomous vehicles, and others. One such system includes light detection and ranging (LIDAR), which is a three-dimensional laser scanning system. LIDAR has been applied in navigation systems such as airplanes or satellites to determine position and orientation of a sensor in combination with other systems and sensors. LIDAR may use active sensors to illuminate an object and detect energy that is reflected off the object and back to a sensor. Laser scanning technology has been applied to airborne and terrestrial settings. Airborne laser scanning has been used by an aircraft during flight to generate a three-dimensional point cloud of the aircraft's surrounding landscape. Terrestrial laser scanning has been used to survey stationary or mobile objects on the surface of the Earth for use in topography, monitoring, and location determination.
However, applications of laser scanning technology known in the art typically require highly specialized equipment that may not be useful for additional applications. Further, laser scanning technology provides a limited view of an environment and typically must be used in conjunction with multiple separate systems. For example, autonomous vehicles deploy LIDAR systems in conjunction with multiple imaging cameras, radar sensors, ultrasound sensors, and others. The numerous sensors and imaging systems required by an autonomous vehicle or other system may be very costly and may consume significant physical space. In the context of medical imaging procedures, such as medical endoscopic imaging, all sensors must fit within a small physical area within a body cavity. In some instances, for example in imaging of joints or organs, the geographic area may be exceptionally small and may only accommodate a very small tip of an endoscope. As such, medical endoscopes are necessarily small and cannot accommodate multiple distinct imaging and ranging systems.
In certain implementations, it may be desirable to deploy an endoscopic imaging system for generating an image of a body cavity and further for determining measurements within the body cavity. Such images and measurements may be provided to a user for viewing the body cavity and/or used by a computer-implemented program for executing a robotic system.
This disclosure relates generally to electromagnetic sensing and sensors that may be applicable to endoscope imaging. The disclosure also relates to low energy electromagnetic input conditions as well as low energy electromagnetic throughput conditions. The disclosure relates more particularly, but not necessarily entirely, to a system for producing an image in light deficient environments and associated structures, methods and features, which may include controlling a light source through duration, intensity or both, pulsing a component controlled light source during the blanking period of an image sensor, maximizing the blanking period to allow optimum light, and maintaining color balance.
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 in the appended claims.
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 where:
The disclosure extends to methods, systems, and computer-based products for digital imaging that may be primarily suited to medical applications such as medical endoscopic imaging. Such methods, systems, and computer-based products as disclosed herein may provide imaging or diagnostic capabilities for use in medical robotics applications, such as the use of robotics for performing imaging procedures, surgical procedures, and the like. 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.
Endoscopes have a great variety of uses and may provide significant benefits in the medical field. Endoscopy is used in medicine to look inside a body and in some cases may provide imaging that would otherwise be impossible to see or would require invasive surgical procedures. Endoscopes may be used for medical diagnostics, investigation, or research, and may also be used to perform medical procedures in a minimally invasive manner Medical endoscopes may provide significant benefits to patients and medical practitioners by negating the need for painful and invasive corrective or exploratory surgeries.
As disclosed herein, an endoscopic system for use in a light deficient environment, such as a cavity of a body, may include an imaging device and a light engine. The light engine may include an illumination source for generating pulses of electromagnetic radiation and may further include a lumen for transmitting pulses of electromagnetic radiation to a distal tip of an endoscope. The lumen may transmit the pulses of electromagnetic radiation at particular wavelengths or bands of wavelengths of the electromagnetic spectrum. The lumen may transmit such pulses in a timed sequence and imaging data may be captured by a sensor during each of the pulses. The imaging data associated with the different wavelengths of the pulses may be used to generate a red green blue (RGB) image and/or fluorescence images. In an embodiment, fluorescence imaging may be overlaid on a black-and-white or RGB image.
As disclosed herein, the systems, methods, and devices for an endoscopic image system may provide specialized image data of a light deficient environment. The specialized image data may be used to generate fluorescence imaging and/or identify certain materials, tissues, components, or processes within a light deficient environment. In certain embodiments, fluorescence imaging may be provided to a practitioner or computer-implemented program to enable the identification of certain structures or tissues within a body. Such fluorescence imaging data may be overlaid on black-and-white or RGB images to provide additional information and context.
Further, such systems, methods, and devices for an endoscopic image system may be used in coordination with certain reagents or dyes. In a medical imaging implementation, certain reagents or dyes may be administered to a patient, and those reagents or dyes may fluoresce or react to certain wavelengths of electromagnetic radiation. The endoscopic image system as disclosed herein may transmit electromagnetic radiation at specified wavelengths to fluoresce the reagents or dyes. The fluorescence of the reagents or dyes may be captured by an image sensor to generate imaging to aid in the identification of tissues or structures and/or to aid in diagnosis or research. In an implementation, a patient may be administered a plurality of reagents or dyes that are each configured to fluoresce at different wavelengths and/or provide an indication of different structures, tissues, chemical reactions, biological processes, and so forth. In such an implementation, the endoscopic system as disclosed herein may emit each of the applicable wavelengths to fluoresce each of the applicable reagents or dyes. This may negate the historical need to perform individual imaging procedures for each of a plurality of reagents or dyes.
Medical endoscopes may provide a continuous digital image stream of an interior space of a body where a distal end of the endoscope is inserted. In various implementations, it may be beneficial or even necessary that the digital image stream provides full color imaging such that a medical practitioner may better differentiate between tissues and structures in the body. In further implementations, it may be beneficial to provide hyperspectral imaging data to differentiate between structures, tissues, processes, and conditions with enhanced precision. Additionally, hyperspectral imaging may enable a medical practitioner or computer program to receive information about a condition in a human body that is not visible to the human eye or discernable in an RGB color image.
Systems, methods, and devices are disclosed herein for generating color image data and/or fluorescence image data by an endoscope. A system of the disclosure includes an imaging device having a tube, one or more image sensors, and a lens assembly. The lens assembly may include at least one optical element that corresponds to at least one of the one or more image sensors. The system further includes a display to visual a scene and an image signal processing controller. The system may further include a light engine. The light engine includes an illumination source configured to generate one or more pulses of electromagnetic radiation and a lumen that transmits one or more pulses of electromagnetic radiation to a distal tip of an endoscope. In an embodiment, at least a portion of the one or more pulses of electromagnetic radiation includes an excitation wavelength of electromagnetic radiation between 770 nm and 790 nm that cause one or more reagents to fluoresce at a wavelength that is different from the excitation wavelength of the portion of the one or more pulses of electromagnetic radiation.
In an embodiment of the disclosure, an endoscope system illuminates a source and pulses electromagnetic radiation at a certain wavelength for exciting an electron in a reagent or dye. In an embodiment, the reagent or dye is configured to fluoresce in response to the certain wavelength of electromagnetic radiation that is emitted by the endoscope system. An image sensor in the endoscope system may read a fluorescence relaxation emission of the reagent or dye that may be of lower energy than the pulsed electromagnetic radiation for exciting the reagent or dye. The reagent or dye may be specialized for labeling a certain tissue, structure, biological process, and/or chemical process.
Imaging reagents, including fluorescent reagents, may enhance imaging capabilities in pharmaceutical, medical, biotechnology, diagnostic, and medical procedure industries. Many imaging techniques such as X-ray, computer tomography (CT), ultrasound, magnetic resonance imaging (MRI), and nuclear medicine, mainly analyze anatomy and morphology and are unable to detect changes at the molecular level. Fluorescent reagents, dyes, and probes, including quantum dot nanoparticles and fluorescent proteins, may assist medical imaging technologies by providing additional information about certain tissues, structures, chemical processes, and/or biological processes that are present within the imaging region. Imaging using fluorescent reagents may enable cell tracking and/or the tracking of certain molecular biomarkers. Fluorescent reagents may be applied for imaging cancer, infection, inflammation, stem cell biology, and others. Numerous fluorescent reagents and dyes are being developed and applied for visualizing and tracking biological processes in a non-destructive manner Such fluorescent reagents may be excited by a certain wavelength or band of wavelengths of electromagnetic radiation. Similarly, those fluorescent reagents may emit relaxation energy at a certain wavelength or band of wavelengths when fluorescing, and the emitted relaxation energy may be read by a sensor to determine the location and/or boundaries of the reagent or dye.
In an embodiment of the disclosure, an endoscope system pulses electromagnetic radiation for exciting an electron in a fluorescent reagent or dye. The wavelength or band of wavelengths of the electromagnetic radiation may be particularly selected for fluorescing a certain reagent or dye. In an embodiment, the endoscope system may pulse multiple different wavelengths of electromagnetic radiation for fluorescing multiple different reagents or dyes during a single imaging session. A sensor of the endoscope system may determine a location and/or boundary of a reagent or dye based on the relaxation emissions of the reagent or dye. The endoscope system may further pulse electromagnetic radiation in red, green, and blue bands of visible light. The endoscope system may determine data for an RGB image and a fluorescence image according to a pulsing schedule for the pulses of electromagnetic radiation.
In an embodiment of the disclosure, an endoscope system illuminates a source and pulses electromagnetic radiation for spectral or hyperspectral imaging. Spectral imaging uses multiple bands across the electromagnetic spectrum. This is different from conventional cameras that only capture light across the three wavelengths based in the visible spectrum that are discernable by the human eye, including the red, green, and blue wavelengths to generate an RGB image. Spectral imaging may use any wavelength bands in the electromagnetic spectrum, including infrared wavelengths, the visible spectrum, the ultraviolet spectrum, x-ray wavelengths, or any suitable combination of various wavelength bands. Spectral imaging may overlay imaging generated based on non-visible bands (e.g., infrared) on top of imaging based on visible bands (e.g. a standard RGB image) to provide additional information that is easily discernable by a person or computer algorithm.
Hyperspectral imaging is a subcategory of spectral imaging. Hyperspectral imaging includes spectroscopy and digital photography. In an embodiment of hyperspectral imaging, a complete spectrum or some spectral information is collected at every pixel in an image plane. A hyperspectral camera may use special hardware to capture any suitable number of wavelength bands for each pixel which may be interpreted as a complete spectrum. The goal of hyperspectral imaging may vary for different applications. In one application, the goal of hyperspectral imaging is to obtain the entire electromagnetic spectrum of each pixel in an image scene. This may enable certain objects to be found that might otherwise not be identifiable under the visible light wavelength bands. This may enable certain materials or tissues to be identified with precision when those materials or tissues might not be identifiable under the visible light wavelength bands. Further, this may enable certain processes to be detected by capturing an image across all wavelengths of the electromagnetic spectrum.
Hyperspectral imaging may provide particular advantages over conventional imaging in medical applications. The information obtained by hyperspectral imaging can enable medical practitioners and/or computer-implemented programs to precisely identify certain tissues or conditions that may lead to diagnoses that may not be possible or may be less accurate if using conventional imaging such as RGB imaging. Additionally, hyperspectral imaging may be used during medical procedures to provide image-guided surgery that may enable a medical practitioner to, for example, view tissues located behind certain tissues or fluids, identify atypical cancerous cells in contrast with typical healthy cells, identify certain tissues or conditions, identify critical structures and so forth. Hyperspectral imaging may provide specialized diagnostic information about tissue physiology, morphology, and composition that cannot be generated with conventional imaging.
Endoscopic hyperspectral imaging may present advantages over conventional imaging in various applications and implementations of the disclosure. In medical implementations, endoscopic hyperspectral imaging may permit a practitioner or computer-implemented program to discern, for example, nervous tissue, muscle tissue, various vessels, the direction of blood flow, and so forth. Hyperspectral imaging may enable atypical cancerous tissue to be precisely differentiated from typical healthy tissue and may therefore enable a practitioner or computer-implemented program to discern the boundary of a cancerous tumor during an operation or investigative imaging. Additionally, hyperspectral imaging in a light deficient environment as disclosed herein may be combined with the use of a reagent or dye to enable further differentiation between certain tissues or substances. In such an embodiment, a reagent or dye may be fluoresced by a specific wavelength band in the electromagnetic spectrum and therefore provide information specific to the purpose of that reagent or dye. The systems, methods, and devices as disclosed herein may enable any number of wavelength bands to be pulsed such that one or more reagents or dyes may be fluoresced at different times. In certain implementations, this may enable the identification or investigation of a number of medical conditions during a single imaging procedure.
A medical endoscope may pulse electromagnetic radiation at wavelength bands outside the visible light spectrum to enable the generation of hyperspectral images. Endoscopic hyperspectral imaging is a contactless and non-invasive means for medical imaging that does not require a patient to undergo harmful radiation exposure common in other imaging methods.
Conventional endoscopes, used in, for example, robotics endoscopic procedures such as arthroscopy and laparoscopy, are designed such that the image sensors are typically placed within a hand-piece unit that is held by an endoscope operator and is not inserted into a cavity. In such a configuration, an endoscope unit transmits incident light along the length of an endoscope tube toward the sensor via a complex set of precisely coupled optical components, with minimal loss and distortion. The cost of the endoscope unit is dominated by the optics because the optics components are expensive, and the manufacturing process of the optics components is labor intensive. Further, this type of endoscope is mechanically delicate and relatively minor impacts can easily damage the components or upset the relative alignments of those components. Even minor misalignments to the endoscope components (such as the precisely coupled optical components) can cause significant degradation to image quality or render the endoscope unusable. When the components are misaligned, the incident light traveling along the length of the endoscope may fall off such that there is little or no light at the distal end of the endoscope and the endoscope becomes unusable. Because conventional endoscopes require such precise and complex optical components, and because those components can become easily misaligned, such convention endoscopes require frequent and expensive repair cycles to maintain image quality.
One solution to this issue is to place the image sensor within the endoscope itself at the distal end. Such a solution may eliminate the need for a complex and precise collection of coupled optical components that can be easily misaligned and/or damaged. This solution potentially approaches the optical simplicity, robustness, and economy that is universally realized within, for example, mobile phone cameras. However, it should be appreciated that a great deal of the benefits provided by an endoscope arise from the compact size of the distal end of the endoscope. If the distal end of the endoscope is enlarged to accommodate the multiple distinct wavelength-sensitive pixel sensors conventionally used for color imaging or hyperspectral imaging, the pixel array may be too large, and the endoscope may no longer fit in tight spaces or may be obstructive or invasive when used in a medical implementation. Because the distal end of the endoscope must remain very small, it is challenging to place one or more image sensors at the distal end. An acceptable solution to this approach is by no means trivial and introduces its own set of engineering challenges, not the least of which is the fact that the sensors for color and/or hyperspectral imaging must fit within an area that is highly confined. This is particularly challenging where a pixel array in conventional cameras include separate pixel sensors for each of red, green, and blue visible light bands, along with additional pixel sensors for other wavelength bands used for hyperspectral imaging. The area of the distal tip of the endoscope may be particularly confined side-to-side in the X and Y dimensions, while there is more space along the length of the endoscope tube in the Z dimension.
Because many of the benefits of an endoscope arise from the small size of the distal end of the endoscope, aggressive constraints must be placed on the image sensor area when the image sensors are located at the distal end. These aggressive constraints placed on the sensor area naturally results in fewer and/or smaller pixels within a pixel array. Lowering the pixel count may directly affect the spatial resolution, while reducing the pixel area may reduce the available signal capacity and thereby the sensitivity of the pixel, as well as optimizing the number of pixels such that image quality is maximized, the minimum pixel resolution and native number of pixels using the maximum pixel quality and pitch, such that resolution is not an issue as well as lowering the signal to noise ratio (SNR) of each pixel. Lowering the signal capacity reduces the dynamic range, i.e., the ability of the imaging device or camera to simultaneously capture all the useful information from scenes with large ranges of luminosity. There are various methods to extend the dynamic range of imaging systems beyond that of the pixel itself. All of them may have some kind of penalty, however, (e.g., in resolution or frame rate) and they can introduce undesirable artifacts, which become problematic in extreme cases. Reducing the sensitivity has the consequence that greater light power is required to bring the darker regions of the scene to acceptable signal levels. Lowering the F-number (enlarging the aperture) can compensate for a loss in sensitivity, but at the cost of spatial distortion and reduced depth of focus.
In the sensor industry, complementary metal-oxide-semiconductor (“CMOS”) image sensors have largely displaced conventional charge-coupled device (“CCD”) image sensors in modern camera applications. CMOS image sensors have greater ease of integration and operation, superior or comparable image quality, greater versatility and lower cost, compared with CCD image sensors. Typically, CMOS image sensors may include the circuitry necessary to convert image information into digital data and have various levels of digital processing incorporated thereafter. This can range from basic algorithms for the purpose of correcting non-idealities, which may, for example, arise from variations in amplifier behavior, to full image signal processing (ISP) chains, providing video data in the standard red-green-blue (“RGB”) color space for example (cameras-on-chip).
The control unit for an endoscope or image sensor may be located remotely from the image sensor and may be a significant physical distance away from the image sensor. When the control unit is remote from the sensor, it may be desirable to transmit the data in the digital domain because it is largely immune to interference noise and signal degradation when compared to transmitting an analog data stream. It will be appreciated that various electrical digital signaling standards may be used, such as LVDS (low voltage differential signaling), sub-LVDS, SLVS (scalable low voltage signaling) or other electrical digital signaling standards.
There may be a strong desire to minimize the number of electrical conductors to reduce the number of pads consuming space on the sensor, and to reduce the complexity and cost of sensor manufacture. Although the addition of analog to digital conversion to the sensor may be advantageous, the additional area occupied by the conversion circuits is offset because of the significant reduction in the analog buffering power needed due to the early conversion to a digital signal.
In terms of area consumption, given the typical feature size available in CMOS image sensor (CIS) technologies, it may be preferable in some implementations to have all the internal logic signals generated on the same chip as the pixel array via a set of control registers and a simple command interface.
Some implementations of the disclosure may include aspects of a combined sensor and system design that allows for high definition imaging with reduced pixel counts in a highly controlled illumination environment. This may be accomplished by virtue of frame-by-frame pulsing of a single-color wavelength and switching or alternating each frame between a single, different color wavelength using a controlled light source in conjunction with high frame capture rates and a specially designed corresponding monochromatic sensor. Additionally, electromagnetic radiation outside the visible light spectrum may be pulsed to enable the generation of a hyperspectral image. The pixels may be color agnostic such that each pixel may generate data for each pulse of electromagnetic radiation, including pulses for red, green, and blue visible light wavelengths along with other wavelengths that may be used for hyperspectral imaging.
As used herein, monochromatic sensor refers to an unfiltered imaging sensor. Since the pixels are color agnostic, the effective spatial resolution is appreciably higher than for their color (typically Bayer-pattern filtered) counterparts in conventional single-sensor cameras. They may also have higher quantum efficiency since far fewer incident photons are wasted between the individual pixels. Moreover, Bayer based spatial color modulation requires that the modulation transfer function (MTF) of the accompanying optics be lowered compared with the monochrome modulation, to blur out the color artifacts associated with the Bayer pattern. This has a detrimental impact on the actual spatial resolution that can be realized with color sensors.
The disclosure is also concerned with a system solution for endoscopy applications in which the image sensor is resident at the distal end of the endoscope. In striving for a minimal area sensor-based system, there are other design aspects that can be developed, beyond reduction in pixel count. The area of the digital portion of the chip may be minimized In addition, the number of connections to the chip (pads) may also be minimized. The disclosure describes novel methods that accomplish these goals for the realization of such a system. This involves the design of a full-custom CMOS image sensor with several novel features.
For the purposes of promoting an understanding of the principles in accordance with the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Any alterations and further modifications of the inventive features illustrated herein, and any additional applications of the principles of the disclosure as illustrated herein, which would normally occur to one skilled in the relevant art and having possession of this disclosure, are to be considered within the scope of the disclosure claimed.
Before the structure, systems and methods for producing an image in a light deficient environment are disclosed and described, it is to be understood that this disclosure is not limited to the particular structures, configurations, process steps, and materials disclosed herein as such structures, configurations, process steps, and materials may vary somewhat. It is also to be understood that the terminology employed herein is used for the purpose of describing particular embodiments only and is not intended to be limiting since the scope of the disclosure will be limited only by the appended claims and equivalents thereof.
In describing and claiming 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 and the appended claims, 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 in the claim.
As used herein, the phrase “consisting essentially of” and grammatical equivalents thereof limit the scope of a claim 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.
As used herein, color sensors or multi spectrum sensors are those sensors known to have a color filter array (CFA) thereon to filter the incoming electromagnetic radiation into its separate components. In the visual range of the electromagnetic spectrum, such a CFA may be built on a Bayer pattern or modification thereon to separate green, red and blue spectrum components of the light.
Referring now to
It should be noted that as used herein the term “light” is both a particle and a wavelength and is intended to denote electromagnetic radiation that is detectable by a pixel array and may include wavelengths from the visible and non-visible spectrums of electromagnetic radiation. The term “partition” is used herein to mean a pre-determined range of wavelengths of the electromagnetic spectrum that is less than the entire spectrum, or in other words, wavelengths that make up some portion of the electromagnetic spectrum. As used herein, an emitter is a light source that may be controllable as to the portion of the electromagnetic spectrum that is emitted or that may operate as to the physics of its components, the intensity of the emissions, or the duration of the emission, or all the above. An emitter may emit light in any dithered, diffused, or collimated emission and may be controlled digitally or through analog methods or systems. As used herein, an electromagnetic emitter is a source of a burst of electromagnetic energy and includes light sources, such as lasers, LEDs, incandescent light, or any light source that can be digitally controlled.
A pixel array of an image sensor may be paired with an emitter electronically, such that they are synced during operation for both receiving the emissions and for the adjustments made within the system. As can be seen in
During operation, the data created by the monochromatic sensor 120 for any individual pulse may be assigned a specific color or wavelength partition, wherein the assignment is based on the timing of the pulsed color or wavelength partition from the emitter 100. Even though the pixels 122 are not color-dedicated, they can be assigned a color for any given data set based on a priori information about the emitter.
In an exemplary embodiment of the disclosure, the emitter 100 pulses electromagnetic radiation at specialized wavelengths. Such pulses may enable the generation of a specialized fluorescence image that is particularly suited for certain medical or diagnostic applications. In the exemplary embodiment, at least a portion of the electromagnetic radiation emitted by the emitter 100 includes an excitation wavelength of electromagnetic radiation between 770 nm and 790 nm and between 795 nm and 815 nm that cause one or more reagents to fluoresce at a wavelength that is different from the excitation wavelength of the portion of the electromagnetic radiation.
In one embodiment, three data sets representing RED, GREEN and BLUE electromagnetic pulses may be combined to form a single image frame. One or more additional data sets representing other wavelength partitions may be overlaid on the single image frame that is based on the RED, GREEN, and BLUE pulses. The one or more additional data sets may represent, for example, fluorescence imaging responsive to the excitation wavelength between 770 nm and 790 nm and between 795 nm and 815 nm. The one or more additional data sets may represent fluorescence imaging and/or hyperspectral that may be overlaid on the single image frame that is based on the RED, GREEN, and BLUE pulses.
It will be appreciated that the disclosure is not limited to any particular color combination or any particular electromagnetic partition, and that any color combination or any electromagnetic partition may be used in place of RED, GREEN and BLUE, such as Cyan, Magenta and Yellow; Ultraviolet; infra-red; any combination of the foregoing, or any other color combination, including all visible and non-visible wavelengths, without departing from the scope of the disclosure. In the figure, the object 110 to be imaged contains a red portion 110a, green portion 110b and a blue portion 110c. As illustrated in the figure, the reflected light from the electromagnetic pulses only contains the data for the portion of the object having the specific color that corresponds to the pulsed color partition. Those separate color (or color interval) data sets can then be used to reconstruct the image by combining the data sets at 130.
In one embodiment, a plurality of data sets representing RED, GREEN, and BLUE electromagnetic pulses along with additional wavelength partitions along the electromagnetic spectrum may be combined to form a single image frame having an RGB image with hyperspectral image data overlaid on the RGB image. Depending on the application or instance, different combinations of wavelength data sets may be desirable. For example, in some implementations, a data set representing specific wavelength partitions may be used to generate a specialized hyperspectral image for diagnosing a particular medical condition, investigating certain body tissues, and so forth.
As illustrated in
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 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.
Further, upon reaching various computer system components, program code means in the form of computer-executable instructions or data structures that can be transferred automatically from transmission media to computer storage media (devices) (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computer system RAM and/or to less volatile computer storage media (devices) at a computer system. RAM can also include solid state drives (SSDs or PCIx based real time memory tiered storage, such as FusionIO). Thus, it should be understood that computer storage media (devices) can be included in computer system components that also (or even primarily) utilize transmission media.
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 in the appended claims is not necessarily limited to the described features or acts described above. Rather, the described features and acts are disclosed as example forms of implementing the claims.
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 (FPGAs) can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description and Claims 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 150 includes one or more processor(s) 152, one or more memory device(s) 154, one or more interface(s) 156, one or more mass storage device(s) 158, one or more Input/Output (I/O) device(s) 160, and a display device 180 all of which are coupled to a bus 162. Processor(s) 152 include one or more processors or controllers that execute instructions stored in memory device(s) 154 and/or mass storage device(s) 158. Processor(s) 152 may also include various types of computer-readable media, such as cache memory.
Memory device(s) 154 include various computer-readable media, such as volatile memory (e.g., random access memory (RAM) 164) and/or nonvolatile memory (e.g., read-only memory (ROM) 166). Memory device(s) 154 may also include rewritable ROM, such as Flash memory.
Mass storage device(s) 158 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) 160 include various devices that allow data and/or other information to be input to or retrieved from computing device 150. Example I/O device(s) 160 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 180 includes any type of device capable of displaying information to one or more users of computing device 150. Examples of display device 180 include a monitor, display terminal, video projection device, and the like.
Interface(s) 106 include various interfaces that allow computing device 150 to interact with other systems, devices, or computing environments. Example interface(s) 156 may include any number of different network interfaces 170, such as interfaces to local area networks (LANs), wide area networks (WANs), wireless networks, and the Internet. Other interface(s) include user interface 168 and peripheral device interface 172. The interface(s) 156 may also include one or more user interface elements 168. The interface(s) 156 may also include one or more peripheral interfaces such as interfaces for printers, pointing devices (mice, track pad, etc.), keyboards, and the like.
Bus 162 allows processor(s) 152, memory device(s) 154, interface(s) 156, mass storage device(s) 158, and I/O device(s) 160 to communicate with one another, as well as other devices or components coupled to bus 162. Bus 162 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 150, and are executed by processor(s) 152. 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) or field programmable gate arrays (FPGAs) can be programmed to carry out one or more of the systems and procedures described herein.
In contrast to adjusting the interval of time that the emitter pulses a fixed output magnitude, the magnitude of the emission itself may be increased to provide more electromagnetic energy to the pixels. Similarly, decreasing the magnitude of the pulse provides less electromagnetic energy to the pixels. It should be noted that an embodiment of the system may have the ability to adjust both magnitude and duration concurrently, if desired. Additionally, the sensor may be adjusted to increase its sensitivity and duration as desired for optimal image quality.
Referring now to
In contrast, when partitioned spectrums of light are used a sensor can be made to be sensitive or responsive to the magnitude of all light energy because the pixel array will be instructed that it is sensing electromagnetic energy from a predetermined partition of the full spectrum of electromagnetic energy in each cycle. Therefore, to form an image the sensor need only be cycled with a plurality of differing partitions from within the full spectrum of light and then reassembling the image to display a predetermined mixture of color values for every pixel across the array. Accordingly, a higher resolution image is also provided because there are reduced distances as compared to a Bayer sensor between pixel centers of the same color sensitivity for each of the color pulses. As a result, the formed colored image has a higher modulation transfer function (MTF). Because the image from each color partition frame cycle, has a higher resolution, the resultant image created when the partitioned light frames are combined into a full color frame, also has a higher resolution. In other words, because each and every pixel within the array (instead of, at most, every second pixel in a sensor with color filter) is sensing the magnitudes of energy for a given pulse and a given scene, just fractions of time apart, a higher resolution image is created for each scene with less derived (less accurate) data needing to be introduced.
For example, white or full spectrum visible light is a combination of red, green and blue light. In the embodiment shown in
As can be seen graphically in the embodiment illustrated in
In other embodiments, there may be different capture and display frame rates. Furthermore, the average capture rate could be any multiple of the display rate.
In an embodiment, it may be desired that not all partitions be represented equally within the system frame rate. In other words, not all light sources have to be pulsed with the same regularity so as to emphasize and de-emphasize aspects of the recorded scene as desired by the users. It should also be understood that non-visible and visible partitions of the electromagnetic spectrum may be pulsed together within a system with their respective data value being stitched into the video output as desired for display to a user.
An embodiment may comprise a pulse cycle pattern as follows:
As can be seen in the example, an infrared partition or a specialized wavelength partition (e.g., 513-545 nm, 565-585 nm, and/or 900-100 nm) may be pulsed at a rate differing from the rates of the other partition pulses. This may be done to emphasize a certain aspect of the scene, with the IR data simply being overlaid with the other data in the video output to make the desired emphasis. It should be noted that the addition of an electromagnetic partition on top of the RED, GREEN, and BLUE partitions does not necessarily require the serialized system to operate at four times the rate of a full spectrum non-serial system because every partition does not have to be represented equally in the pulse pattern. As seen in the embodiment, the addition of a partition pulse that is represented less in a pulse pattern (infrared in an above example), would result in an increase of less than 20% of the cycling speed of the sensor in order accommodate the irregular partition sampling.
In an embodiment, an electromagnetic partition may be emitted that is sensitive to dyes or materials that are used to highlight aspects of a scene. In the embodiment, it may be sufficient to highlight the location of the dyes or materials without need for high resolution. In such an embodiment, the dye sensitive electromagnetic partition may be cycled much less frequently than the other partitions in the system to include the emphasized data.
In various embodiments, the pulse cycle pattern may include any of the following wavelengths in any suitable order. Such wavelengths may be particularly suited for determining multispectral or hyperspectral image data or for determining image data based on a fluorescent reagent relaxation emission:
The partition cycles may be divided so as to accommodate or approximate various imaging and video standards. In an embodiment, the partition cycles may comprise pulses of electromagnetic energy in the Red, Green, Blue spectrum as follows as illustrated best in
In an embodiment using color spaces Green-Blue-Green-Red (as seen in
In an embodiment, duplicating the pulse of a weaker partition may be used to produce an output that has been adjusted for the weaker pulse. For example, blue laser light is considered weak relative to the sensitivity of silicon-based pixels and is difficult to produce in comparison to the red or green light, and therefore may be pulsed more often during a frame cycle to compensate for the weakness of the light. These additional pulses may be done serially over time or by using multiple lasers that simultaneously pulse to produce the desired compensation effect. It should be noted that by pulsing during a blanking period (time during which the sensor is not reading out the pixel array), the sensor is insensitive to differences/mismatches between lasers of the same kind and simply accumulates the light for the desired output. In another embodiment, the maximum light pulse range may be different from frame to frame. This is shown in
As can be seen in
In an embodiment, timing of the sensor sensibility adjustment is illustrated, and sensor sensibility adjustment can be achieved using a global reset mechanism (i.e., a means of firing all pixel array reset signals at once) and a global TX mechanism (i.e., a means of firing all pixel array TX signals at once). This is shown in
Conversely, the emitter may emit red light at a lesser intensity than blue light to produce a correctly exposed image (illustrated best in
Reconstructing the partitioned spectrum frames into a full spectrum frame for later output could be as simple as blending the sensed values for each pixel in the array in some embodiments. Additionally, the blending and mixing of values may be simple averages or may be tuned to a predetermined lookup table (LUT) of values for desired outputs. In an embodiment of a system using partitioned light spectrums, the sensed values may be post-processed or further refined remotely from the sensor by an image or secondary processor, and just before being output to a display.
The first stage is concerned with making corrections (see 1302, 1304 and 1306 in
At the next stage, two frames (see 1308 and 1310 in
In this example, the white balance coefficients at 1318 and color correction matrix at 1320 are applied before converting to YCbCr space at 1322 for subsequent edge enhancement at 1324. After edge enhancement at 1324, images are transformed back to linear RGB at 1326 for scaling at 1328, if applicable.
Finally, the gamma transfer function at 1330 would be applied to translate the data into the sRGB domain at 1332.
Referring now to
In use, and upon start up, the system may sample a color neutral scene at 1710 (as illustrated in
It should be noted that because each partitioned spectrum of light may have different energy values, the sensor and/or light emitter may be adjusted to compensate for the differences in the energy values. For example, in an embodiment, because the blue light spectrum has a lower quantum efficiency than the red light spectrum with regard to silicon based imagers, the sensor's responsiveness can then be adjusted to be less responsive during the red cycle and more responsive during the blue cycle. Conversely, the emitter may emit blue light at a higher intensity, because of the lower quantum efficiency of the blue light, than red light to produce a correctly exposed image.
In an embodiment illustrated in
To reduce the amount of noise and artifacts within the outputted image stream or video, fractionalized adjustments may be made to the sensor or emitter within the system as can be seen in
In an exemplary embodiment, a fractional adjustment of the components within the system may be performed, for example, at about 0.1 dB of the operational range of the components to correct the exposure of the previous frame. The 0.1 dB is merely an example and it should be noted that is other embodiments the allowed adjustment of the components may be any portion of their respective operational ranges. The components of the system can change by intensity or duration adjustment that is generally governed by the number of bits (resolution) output by the component. The component resolution may be typically between a range of about 10-24 bits but should not be limited to this range as it is intended to include resolutions for components that are yet to be developed in addition to those that are currently available. For example, after a first frame it is determined that the scene is too blue when observed, then the emitter may be adjusted to decrease the magnitude or duration of the pulse of the blue light during the blue cycle of the system by a fractional adjustment as discussed above, such as about 0.1 dB.
In this exemplary embodiment, more than 10 percent may have been needed, but the system has limited itself to 0.1 dB adjustment of the operational range per system cycle. Accordingly, during the next system cycle the blue light can then be adjusted again, if needed. Fractionalized adjustment between cycles may have a damping effect of the outputted imaged and will reduce the noise and artifacts when operating emitters and sensors at their operation extremes. It may be determined that any fractional amount of the components' operational range of adjustment may be used as a limiting factor, or it may be determined that certain embodiments of the system may comprise components that may be adjusted over their entire operational range.
Additionally, the optical black area of any image sensor may be used to aid in image correction and noise reduction. In an embodiment, the values read from the optical black area may be compared to those of the active pixel region of a sensor to establish a reference point to be used in image data processing.
Being in total control of the illumination has the benefit that entire frames of dark data may periodically be acquired and used to correct for the pixel and column offsets. In the illustrated example, a single frame buffer may be used to make a running average of the whole frame without light using, e.g., simple exponential smoothing. This dark average frame would be subtracted from every illuminated frame during regular operation.
Line-Noise is a stochastic temporal variation in the offsets of pixels within each row. Since it is temporal, the correction must be computed anew for each line and each frame. For this purpose, there are usually many optically blind (OB) pixels within each row in the array, which must first be sampled to assess the line offset before sampling the light sensitive pixels. The line offset is then simply subtracted during the line noise correction process.
In the example in
As can be seen in
Alternatively, the system may be cycled in the form of:
In such an embodiment, a first image may be derived from the intensity one values, and a second image may be derived from the intensity two values, and then combined or processed as complete image data sets at 2310 rather than their component parts.
It is contemplated to be within the scope of this disclosure that any number of emission partitions may be used in any order. As seen in
Accordingly, any pattern of serialized cycles can be used to produce the desired image correction wherein “i” and “j” are additional values within the operation range of the imaging system.
Digital color cameras incorporate an image processing stage for the purpose of maximizing the fidelity of color reproduction. This is accomplished by means of a 3×3 matrix known as the Color Correction Matrix (CCM):
The terms in the CCM are tuned using a set of reference colors (e.g., from a Macbeth chart) to provide the best overall match to the sRGB standard color space. The diagonal terms, a, e and i, are effectively white balance gains. Typically, though, the white balance is applied separately, and the sums of horizontal rows are constrained to be unity, in order no net gain is applied by the CCM itself. The off-diagonal terms effectively deal with color crosstalk in the input channels. Therefore, Bayer sensors have higher off-diagonals than 3-chip cameras since the color filer arrays have a lot of response overlap between channels.
There is a signal-to-noise ratio penalty for color correction which is dependent on the magnitude of the off-diagonal terms. A hypothetical sensor with channels that perfectly matched the sRGB components would have the identity matrix CCM:
The signal to noise ratio evaluated in the green channel, for a perfect white photo signal of 10,000 e-per pixel (neglecting read noise) for this case would be:
Any departure from this degrades the SNR. Take e.g. the following CCM which has values that would not be unusual for a Bayer CMOS sensor:
In this case, the green SNR:
The system described in this disclosure uses monochromatic illumination at a plurality of discrete wavelengths, therefore there is no color crosstalk per se. The crosses in
The off-diagonal terms for the CCM is in this case are drastically reduced, compared with Bayer sensors, which provides a significant SNR advantage.
In an embodiment, an array may comprise rows of pixels that may be placed in rows based on their sensitivities. In an embodiment, pixels of differing sensitivities may alternate within a row or column with respect to its nearest neighboring pixels to from a checkerboard pattern throughout the array based on those sensitivities. The above may be accomplished through any pixel circuitry share arrangement or in any stand-alone pixel circuit arrangement.
Wide dynamic range can be achieved by having multiple global TX, each TX firing only on a different set of pixels. For example, in global mode, a global TX1 signal is firing a set 1 of pixels, a global TX2 signal is firing a set 2 of pixels . . . a global TXn signal is firing a set n of pixels.
Based on
In one implementation, a means of providing wide-dynamic range video is described, which exploits the color pulsing system described in this disclosure. The basis of this is to have multiple flavors of pixels, or pixels that may be tuned differently, within the same monochrome array that are able to integrate the incident light for different durations within the same frame. An example of the pixel arrangement in the array of such a sensor would be a uniform checkerboard pattern throughout, with two independently variable integration times. For such a case, it is possible to provide both red and blue information within the same frame. In fact, it is possible to do this at the same time as extending the dynamic range for the green frame, where it is most needed, since the two integration times can be adjusted on a frame by frame basis. The benefit is that the color motion artifacts are less of an issue if all the data is derived from two frames versus three. There is of course a subsequent loss of spatial resolution for the red and blue data, but that is of less consequence to the image quality compared with green, since the luminance component is dominated by green data.
An inherent property of the monochrome wide-dynamic range (WDR) 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. For regular wide-dynamic range operation in the green frames, that is desirable. For the red and blue frames, it means that the pulsing must be controlled in conjunction with the exposure periods to, e.g., provide blue light from the start of the long exposure and switch to red at the point that the short exposure pixels are turned on (both pixel types have their charges transferred at the same time).
At the color fusion stage, the two flavors of pixels 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 blue data and the other red+blue. The blue buffer may be subtracted from the second buffer to give pure red data.
In an embodiment, white light or multi-spectrum light may be emitted as a pulse, if desired, to provide data for use within the system (illustrated best in
Any system using an image sensor cycle that is at least two times faster than the white light cycle is intended to fall within the scope of the disclosure. It will be appreciated that any combination of partitions of the electromagnetic spectrum is contemplated herein, whether it be from the visible or non-visible spectrum of the full electromagnetic spectrum.
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.
An embodiment of an emitter may employ the use of a mechanical shutter and filters to create pulsed color light. As illustrated in
Illustrated in
As illustrated
Illustrated in
Illustrating in
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 one embodiment, the lumen waveguide 3710 includes a one or a plurality of optical fibers. The optical fibers may be made of a low-cost material, such as plastic to allow for disposal of the lumen waveguide 3710 and/or other portions of an endoscope. In one embodiment, a single glass fiber having a diameter of 500 microns may be used. The jumper waveguide 3706 may be permanently attached to the light source 3702. For example, a jumper waveguide 3706 may receive light from an emitter within the light source 3702 and provide that light to the lumen waveguide 3710 at the location of the connector 3708. In one embodiment, the jumper waveguide 106 may include one or more glass fibers. The jumper waveguide may include any other type of waveguide for guiding light to the lumen waveguide 3710. The connector 3708 may selectively couple the jumper waveguide 3706 to the lumen waveguide 3710 and allow light within the jumper waveguide 3706 to pass to the lumen waveguide 3710. In one embodiment, the lumen waveguide 3710 may be directly coupled to a light source without any intervening jumper waveguide 3706.
In an implementation where a patient has been administered a reagent or dye to aid in the identification of certain tissues, structures, chemical reactions, biological processes, and so forth, the emitters 3802, 3804, and 3806 may emit wavelength(s) for fluorescing the reagents or dyes. Such wavelength(s) may be determined based on the reagents or dyes administered to the patient. In such an embodiment, the emitters may need to be highly precise for emitting desired wavelength(s) to fluoresce or activate certain reagents or dyes.
In the embodiment of
In one embodiment, an intervening optical element may be placed between a fiber bundle and the emitters 3802, 3804, 3806 to mix the different colors (wavelengths) of light before entry into the fibers or other waveguide. Example intervening optical elements include a diffuser, mixing rod, one or more lenses, or other optical components that mix the light so that a given fiber receive a same amount of each color (wavelength). For example, each fiber in the fiber bundle may have a same color. This mixing may lead to the same color in each fiber but may, in some embodiments, still result in different total brightness delivered to different fibers. In one embodiment, the intervening optical element may also spread out or even out the light over the collection region so that each fiber carries the same total amount of light (e.g., the light may be spread out in a top hat profile). A diffuser or mixing rod may lead to loss of light.
Although the collection region 3808 is represented as a physical component in
Because the dichroic mirrors allow other wavelengths to transmit or pass through, each of the wavelengths may arrive at the collection region 3808 from a same angle and/or with the same center or focal point. Providing light from the same angle and/or same focal/center point can significantly improve reception and color mixing at the collection region 3808. For example, a specific fiber may receive the different colors in the same proportions they were transmitted/reflected by the emitters 3802, 3804, 3806 and mirrors 3902, 3904, 3906. Light mixing may be significantly improved at the collection region compared to the embodiment of
The top hat profile may also be accomplished using one or more lenses, diffusers, mixing rods, or any other intervening optical component between the emitters 3802, 3804, 3806 and an output waveguide, fiber, or fiber optic bundle.
In one embodiment, the lumen waveguide 4102 may include a single plastic or glass optical fiber of about 500 microns. The plastic fiber may be low cost, but the width may allow the fiber to carry a sufficient amount of light to a scene, with coupling, diffuser, or other losses. For example, smaller fibers may not be able to carry as much light or power as a larger fiber. The lumen waveguide 3710 may include a single or a plurality of optical fibers. The lumen waveguide 3702 may receive light directly from the light source or via a jumper waveguide (e.g., see the jumper waveguide 3706 of
Although three emitters are shown in
In one embodiment, a light source with a plurality of emitters may be used for multispectral or hyperspectral imaging in a light deficient environment. For example, different chemicals, materials, or tissue may have different responses to different colors or wavelengths of electromagnetic energy. Some tissues have their own spectral signature (how they respond or vary in reflecting wavelengths of electromagnetic radiation). In one embodiment, a specific type of tissues may be detected based on how it responds to a specific wavelength or a specific combination of wavelengths. For example, blood vessel tissues may absorb and reflect different wavelengths or spectrums of electromagnetic energy in a unique way to distinguish it from muscle, fat, bone, nerve, ureter, or other tissues or materials in the body. Furthermore, specific types of muscle or other types of tissue may be distinguished based on their spectral response. Disease states of tissue may also be determined based on spectral information. See U.S. Pat. No. 8,289,503. See also U.S. Pat. No. 8,158,957.
In one embodiment, fluorescent image data, and/or multispectral or hyperspectral image data may be obtained using one or more filters to filter out all light or electromagnetic energy, except that in the desired wavelength or spectrum.
In a light deficient environment, the light 4208 may include white light emitted by an emitter in the light deficient environment. The filter 4202 may be selected for the desired examination. For example, if it is desired to detect or highlight a specific tissue, the filter 4202 may be selected to allow wavelengths corresponding to the spectral response of the specific tissue or the fluorescence emission of a specific reagent to pass through. The image sensor 4204, which may include a monochromatic image sensor, may generate an image. Pixels of the captured image that exceed a threshold or fall below a threshold may then be characterized as corresponding to the specific tissue. This data may then be used to generate an image that indicates the location of the specific tissue.
In another embodiment, a fluorescing dye or reagent may be used for imaging specific tissue types, pathways, or the like in a body. For example, a fluorescing dye may be administered to a patient and then an image of the dye may be captured. In one embodiment, fluorescing of the dye may be triggered using a specific wavelength of electromagnetic energy. For example, the dye may only fluoresce when the electromagnetic energy is present.
However, both filters and fluorescing dyes significantly constrain examination. For example, if a filter is used, the desired spectral response that can be detected, and thus the material or tissue that can be detected, is limited by the available filters. Furthermore, the filters may need to be swapped or replaced. With regard to dyes, the dye must be administered before imaging and there may be conflicts between administering different dyes for different purposes during the same examination. Thus, examinations using filters and dyes can take a long time and may require many different examinations to get the desired information.
In one embodiment, multispectral or hyper spectral imaging in a light deficient environment may be achieved using a monochrome image sensor and emitters that emit a plurality of different wavelengths or spectrums of electromagnetic energy. In one embodiment, a light source or other electromagnetic source (such as a light source 3800 in any of
In one embodiment, at least one emitter (such as a laser emitter) may be included in a light source (such as the light sources 3702, 3800 in
The waveband widths and coverage provided by the emitters may be selected to provide any desired combination of spectrums. For example, contiguous coverage of a spectrum using very small waveband widths (e.g., 10 nm or less) may allow for highly selective hyperspectral imaging. Because the wavelengths come from emitters which can be selectively activated, extreme flexibility in determining spectral responses of a material during an examination can be achieved. Thus, much more information about spectral response may be achieved in less time and within a single examination which would have required multiple examinations, delays because of the administration of dyes or stains, or the like. In one embodiment, a system may capture hyperspectral image data and process that data to identify what type of tissue exists at each pixel.
In one embodiment, each frame is generated based on at least one pulse of electromagnetic energy. The pulse of electromagnetic energy is reflected and detected by an image sensor and then read out in a subsequent readout (4402). Thus, each blanking period and readout results in an image frame for a specific spectrum of electromagnetic energy. For example, the first frame 404 may be generated based on a spectrum of a first one or more pulses 4416, a second frame 4406 may be generated based on a spectrum of a second one or more pulses 4418, a third frame 4408 may be generated based on a spectrum of a third one or more pulses 4420, a fourth frame 4410 may be generated based on a spectrum of a fourth one or more pulses 4422, a fifth frame 4412 may be generated based on a spectrum of a fifth one or more pulses 4424, and an Nth frame 4426 may be generated based on a spectrum of an Nth one or more pulses 4426.
The pulses 4416-4426 may include energy from a single emitter or from a combination of two or more emitters. For example, the spectrum included in a single readout period or within the plurality of frames 4404-4414 may be selected for a desired examination or detection of a specific tissue or condition. According to one embodiment, one or more pulses may include visible spectrum light for generating a color or black and white image while one or more additional pulses are used to obtain spectral response to classify a type of tissue. For example, pulse 4416 may include red light, pulse 4418 may include blue light, and pulse 4420 may include green light while the remaining pulses 4422-4426 may include wavelengths and spectrums for detecting a specific tissue type. As a further example, pulses for a single readout period may include a spectrum generated from multiple different emitters (e.g., different slices of the electromagnetic spectrum) that can be used to detect a specific tissue type. For example, if the combination of wavelengths results in a pixel having a value exceeding or falling below a threshold, that pixel may be classified as corresponding to a specific type of tissue. Each frame may be used to further narrow the type of tissue that is present at that pixel (e.g., and each pixel in the image) to provide a very specific classification of the tissue and/or a state of the tissue (diseased/healthy) based on the spectral response.
The plurality of frames 4404-4414 is shown having varying lengths in readout periods and pulses having different lengths or intensities. The blanking period, pulse length or intensity, or the like may be selected based on the sensitivity of a monochromatic sensor to the specific wavelength, the power output capability of the emitter(s), and/or the carrying capacity of the waveguide.
A hyperspectral image or hyperspectral image data obtained in a manner illustrated in
In one embodiment, a video or other image may include a black and white or color image overlaid with information derived from the spectral response for each pixel. For example, pixels that correspond to a specific tissue or state may be shown in a bright green or other color to assist a doctor or other medical expert during an examination.
In one embodiment, dual image sensors may be used to obtain three-dimensional images or video feeds. A three-dimensional examination may allow for improved understanding of a three-dimensional structure of the examined region as well as a mapping of the different tissue or material types within the region.
In one embodiment, multispectral or hyperspectral imaging may be used to look through materials or substances. For example, infrared wavelengths may pass through some tissues, such as muscle or fat, while reflecting off blood vessels. In one embodiment, infrared waves may penetrate 5, 8 or 10 mm or more into a tissue. Obtaining a series of frames that includes at least one infrared frame may allow an examination to provide information about the location of blood vessels below the surface. This can be extremely helpful for surgical procedures where it may be desirable to perform incisions that avoid blood vessels. In one embodiment, a color or greyscale image may be overlaid with a green color that indicates the location of blood vessels below the surface. Similarly, a known spectral response of blood may be used to look through the blood and see the tissues or structures of interest in an examination.
Assembly of the subframes into a single frame for display on a monitor or other display device may take place after capturing the series of frames 4404-4414. A color or greyscale image may be generated from one or more of the frames and overlay information for pixels may be determined based on all or the remaining frames. The color or greyscale image mat be combined with the overlay information to generate a single frame. The single frame may be displayed as a single image or as an image in a video stream.
In one embodiment, the hyperspectral data obtained as illustrated in
The filter 4502 may be used in an implementation where a fluorescent reagent or dye has been administered. In such an embodiment, the filter 4502 is configured to filter out all light other than one or more desired wavelengths or spectral bands of light or other electromagnetic radiation. In one embodiment, the filter 4502 is configured to filter out an excitation wavelength of electromagnetic radiation that causes a reagent or dye to fluoresce such that only the expected relaxation wavelength of the fluoresced reagent or dye is permitted to pass through the filter 4502 and reach the image sensor 4504. In an embodiment, the filter 4502 filters out at least a fluorescent reagent excitation wavelength between 770 nm and 790 nm. In an embodiment, the filter 4502 filters out at least a fluorescent reagent excitation wavelength between 795 nm and 815 nm. In an embodiment, the filter 4502 filters out at least a fluorescent reagent excitation wavelength between 770 nm and 790 nm and between 795 nm and 815 nm. In these embodiments, the filter 4502 filters out the excitation wavelength of the reagent and permits only the relaxation wavelength of the fluoresced reagent to be read by the image sensor 4504. The image sensor 4504 may be a wavelength-agnostic image sensor and the filter 4502 may be configured to permit the image sensor 4504 to only receive the relaxation wavelength of the fluoresced reagent and not receive the emitted excitation wavelength for the reagent. The data determined by the image sensor 4504 may then indicate a presence of a critical body structure, tissue, biological process, or chemical process as determined by a location of the reagent or dye.
The filter 4502 may further be used in an implementation where a fluorescent reagent or dye has not been administered. The filter 4502 may be selected to permit wavelengths corresponding to a desired spectral response to pass through and be read by the image sensor 4504. The image sensor 4504 may be a monochromatic image sensor such that pixels of the captured image that exceed a threshold or fall below a threshold may be characterized as corresponding to a certain spectral response or fluorescence emission. The spectral response or fluorescence emission, as determined by the pixels captured by the image sensor 4504, may indicate the presence of a certain body tissue or structure, a certain condition, a certain chemical process, and so forth.
In one embodiment, the light source 4508 transmits white light that contacts the surface 4512 and is reflected back where it is filtered by the filter 4502 before it hits the image sensor 4504. In one embodiment, the light source 4508 transmits white light that passes through the filter 4502 such that filtered light of only one or more desired wavelengths emerges from the filter 4502 to be reflected off the surface 4512 and read by the image sensor 4504. For example, in an embodiment, the filter 4502 permits only light having a wavelength of 795 nm to pass through the filter 4502 and contact the image sensor 4504. Further in an embodiment, the filter 4502 permits only certain wavelengths of light to be reflected back to the image sensor 4504 of the endoscope 4506 or other imaging device. The filter 4502 may be located anywhere in the system 4500 or may be an attribute of a lens or the image sensor 4504. The filter 4502 may be located in front of and/or behind the image sensor 4504. In an embodiment, light emitted by the light source 4508 is filtered before it reaches the surface 4512 and the reflected light is filtered by an additional filter before it is ready by the image sensor 4504.
The light source 4508 may be an emitter that may be configured to emit white light or electromagnetic radiation of one or more specific wavelengths. The light source 4508 may include a plurality of lasers configured to emit or pulse light of specified wavelengths. In an embodiment, the light source 4508 emits white light and the filter 4502 is selected to filter all unwanted light other than one or more desired wavelengths of light or other electromagnetic radiation. The filter 4502 may be selected for a specific examination or purpose, for example to highlight a type of body tissue or structure, or to highlight a certain condition or chemical process.
Further to the disclosure with respect to
The multiple filters 4602a, 4602b may each be configured for filtering out a different range of wavelengths of the electromagnetic spectrum. For example, one filter may be configured for filtering out wavelengths longer than a desired wavelength range and the additional filter may be configured for filtering out wavelengths shorter than the desired wavelength range. The combination of the two or more filters may result in only a certain wavelength or band of wavelengths being read by the image sensor 4604.
In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 513 nm and 545 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 565 nm and 585 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 900 nm and 1000 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 425 nm and 475 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 520 nm and 545 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 625 nm and 645 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 760 nm and 795 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 795 nm and 815 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 370 nm and 420 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are customized such that electromagnetic radiation between 600 nm and 670 nm contacts the image sensor 4604. In an embodiment, the filters 4602a, 4602b are configured for permitting only a certain fluorescence relaxation emission to pass through the filters 4602a, 4602b and contact the image sensor 4604.
In an embodiment, the system 4600 includes multiple image sensors 4604 and may particularly include two image sensors for use in generating a three-dimensional image. The image sensor(s) 4604 may be color/wavelength agnostic and configured for reading any wavelength of electromagnetic radiation that is reflected off the surface 4612. In an embodiment, the image sensors 4604 are each color dependent or wavelength dependent and configured for reading electromagnetic radiation of a particular wavelength that is reflected off the surface 4612 and back to the image sensors 4604. Alternatively, the image sensor 4604 may include a single image sensor with a plurality of different pixel sensors configured for reading different wavelengths or colors of light, such as a Bayer filter color filter array. Alternatively, the image sensor 4604 may include one or more color agnostic image sensors that may be configured for reading different wavelengths of electromagnetic radiation according to a pulsing schedule such as those illustrated in
In an embodiment, the system 4700 pulses a grid array 4706 that may be used for determining a three-dimensional surface and/or tracking a location of an object such as a tool or another device in a light deficient environment. In an embodiment, the system 4700 may provide data to a third party system or computer algorithm for determining surface dimensions and configurations by way of light detection and ranging (LIDAR) mapping. The system 4700 may pulse any suitable wavelength of light or electromagnetic radiation in the grid array 4706, including, for example, ultraviolet light, visible, light, and/or infrared or near infrared light. The surface 4704 and/or objects within the environment may be mapped and tracked at very high resolution and with very high accuracy and precision.
In an embodiment, the system 4700 includes an imaging device having a tube, one or more image sensors, and a lens assembly having an optical element corresponding to the one or more image sensors. The system 4700 may include a light engine having an illumination source generating one or more pulses of electromagnetic radiation and a lumen transmitting the one or more pulses of electromagnetic radiation to a distal tip of an endoscope within a light deficient environment such as a body cavity. In an embodiment, at least a portion of the one or more pulses of electromagnetic radiation includes a laser map pattern that is emitted onto a surface within the light deficient environment, such as a surface of body tissue and/or a surface of tools or other devices within the body cavity. The endoscope 4702 may include a two-dimensional, three-dimensional, or n-dimensional camera for mapping and/or tracking the surface, dimensions, and configurations within the light deficient environment.
In an embodiment, the system 4700 includes a processor for determining a distance of an endoscope or tool from an object such as the surface 4704. The processor may further determine an angle between the endoscope or tool and the object. The processor may further determine surface area information about the object, including for example, the size of surgical tools, the size of structures, the size of anatomical structures, location information, and other positional data and metrics. The system 4700 may include one or more image sensors that provide image data that is output to a control system for determining a distance of an endoscope or tool to an object such as the surface 4704. The image sensors may output information to a control system for determining an angle between the endoscope or tool to the object. Additionally, the image sensors may output information to a control system for determining surface area information about the object, the size of surgical tools, size of structures, size of anatomical structures, location information, and other positional data and metrics.
In an embodiment, the grid array 4706 is pulsed by an illumination source of the endoscope 4702 at a sufficient speed such that the grid array 4706 is not visible to a user. In various implementations, it may be distracting to a user to see the grid array 4706 during an endoscopic imaging procedure and/or endoscopic surgical procedure. The grid array 4706 may be pulsed for sufficiently brief periods such that the grid array 4706 cannot be detected by a human eye. In an alternative embodiment, the endoscope 4702 pulses the grid array 4706 at a sufficient recurring frequency such that the grid array 4706 may be viewed by a user. In such an embodiment, the grid array 4706 may be overlaid on an image of the surface 4704 on a display. The grid array 4706 may be overlaid on a black-and-white or RGB image of the surface 4704 such that the grid array 4706 may be visible by a user during use of the system 4700. A user of the system 4700 may indicate whether the grid array 4706 should be overlaid on an image of the surface 4704 and/or whether the grid array 4706 should be visible to the user. The system 4700 may include a display that provides real-time measurements of a distance from the endoscope 4702 to the surface 4704 or another object within the light deficient environment. The display may further provide real-time surface area information about the surface 4704 and/or any objects, structures, or tools within the light deficient environment. The accuracy of the measurements may be accurate to less than one millimeter.
The endoscope 4702 may pulse electromagnetic radiation according to a pulsing schedule such as those illustrated in
In an embodiment, the endoscope 4702 includes one or more color agnostic image sensors. In an embodiment, the endoscope 4702 includes two color agnostic image sensors for generating a three-dimensional image or map of the light deficient environment. The image sensors may generate an RGB image of the light deficient environment according to a pulsing schedule as disclosed herein. Additionally, the image sensors may determine data for mapping the light deficient environment and tracking one or more objects within the light deficient environment based on data determined when the grid array 4706 is pulsed. Additionally, the image sensors may determine spectral or hyperspectral data along with fluorescence imaging data according to a pulsing schedule that may be modified by a user to suit the particular needs of an imaging procedure. In an embodiment, a pulsing schedule includes Red, Green, and Blue pulses along with pulsing of a grid array 4706 and/or pulsing for generating hyperspectral image data and/or fluorescence image data. In various implementations, the pulsing schedule may include any suitable combination of pulses of electromagnetic radiation according to the needs of a user. The recurring frequency of the different wavelengths of electromagnetic radiation may be determined based on, for example, the energy of a certain pulse, the needs of the user, whether certain data (for example, hyperspectral data and/or fluorescence imaging data) needs to be continuously updated or may be updated less frequently, and so forth.
The pulsing schedule may be modified in any suitable manner, and certain pulses of electromagnetic radiation may be repeated at any suitable frequency, according to the needs of a user or computer-implemented program for a certain imaging procedure. For example, in an embodiment where surface tracking data generated based on the grid array 4706 is provided to a computer-implemented program for use in, for example, a robotic surgical procedure, the grid array 4706 may be pulsed more frequently than if the surface tracking data is provided to a user who is visualizing the scene during the imaging procedure. In such an embodiment where the surface tracking data is used for a robotic surgical procedure, the surface tracking data may need to be updated more frequently or may need to be exceedingly accurate such that the computer-implemented program may execute the robotic surgical procedure with precision and accuracy.
In an embodiment, the system 4700 is configured to generate an occupancy grid map comprising an array of cells divided into grids. The system 4700 is configured to store height values for each of the respective grid cells to determine a surface mapping of a three-dimensional environment in a light deficient environment.
The method 4800 includes emitting at 4802 a plurality of narrow band pulses during readout periods of a monochromatic image sensor. The pulses may be emitted at 4802 using a light source that includes a plurality of emitters that emit electromagnetic energy within the narrow frequency bands. For example, the light source may include at least one emitter for a plurality of frequency bands covering a desired spectrum. A monochromatic image sensor reads out at 4804 pixel data from the monochromatic image sensor following the readout periods to generate a plurality of frames. Each frame may include a different spectral content. These frames may include a plurality of repeating frames that may be used for generating a digital video stream. Each frame may be based energy emitted by one or more emitters of the light source. In one embodiment, a frame may be based on a combination of light emitted by light sources to generate a combination of frequencies to match a frequency response of a desired tissue or substance. A controller, CCU, or other system determines at 4806 a spectral response of a tissue for one or more pixels based on the plurality of frames. For example, the pixel values and knowledge about the frequencies of light emitted for each frame may be used to determine a frequency response for a specific pixel, based on the values for the pixel in the plurality of frames. The system may generate at 4808 a combined image based on the plurality of frames, the combined image comprising an overlay indicating the spectral response for the one or more pixels. For example, the combined image may be a greyscale or color image where pixels corresponding to a specific tissue or classification are shown in bright green.
The method 4900 includes emitting at 4902 a plurality of narrow band pulses during readout periods of a monochromatic image sensor. The pulses may be emitted at 4902 using a light source that includes a plurality of emitters that emit electromagnetic energy within the narrow frequency bands. For example, the light source may include at least one emitter for a plurality of frequency bands covering a desired spectrum. A monochromatic image sensor reads out at 4904 pixel data from the monochromatic image sensor following the readout periods to generate a plurality of frames. Each frame may include a different spectral content. These frames may include a plurality of repeating frames that may be used for generating a digital video stream. Each frame may be based energy emitted by one or more emitters of the light source. In one embodiment, a frame may be based on a combination of light emitted by light sources to generate a combination of frequencies to match a frequency response of a desired tissue or substance. A controller, CCU, or other system determines at 4906 a fluorescence relaxation emission of a reagent for one or more pixels based on the plurality of frames. For example, the pixel values and knowledge about the frequencies of light emitted for each frame may be used to determine a frequency response for a specific pixel, based on the values for the pixel in the plurality of frames. The system may generate at 4908 a combined image based on the plurality of frames, the combined image comprising an overlay indicating the fluorescence relaxation emission for the one or more pixels. For example, the combined image may be a greyscale or color image where pixels corresponding to a specific tissue or classification are shown in bright green.
The following examples pertain to further embodiments:
Example 1 is an endoscopic system for use in a light deficient environment. The system includes an imaging device. The imaging device includes a tube, one or more image sensors, and a lens assembly comprising at least one optical element corresponding to the image sensor. The system includes a display for a user to visualize a scene and an image signal processing controller. The system includes a light engine. The light engine includes an illumination source generating one or more pulses of electromagnetic radiation. The light engine further includes a lumen transmitting one or more pulses of electromagnetic radiation to a distal tip of an endoscope, wherein at least a portion of the one or more pulses of electromagnetic radiation includes a laser map pattern that is emitted onto a surface of a body tissue.
Example 2 is an endoscopic system as in Example 1, further comprising a two-dimensional camera.
Example 3 is an endoscopic system as in any of Examples 1-2, further comprising a three-dimensional camera.
Example 4 is an endoscopic system as in any of Examples 1-3, further comprising an n-dimensional camera.
Example 5 is an endoscopic system as in any of Examples 1-4, wherein the laser map pattern is invisible to a user of the endoscopic system.
Example 6 is an endoscopic system as in any of Examples 1-5, wherein the laser map pattern is visible to a user of the endoscopic system.
Example 7 is an endoscopic system as in any of Examples 1-6, wherein the system further comprises a processor that determines at least one of a distance of an endoscope or tool from an object, an angle between an endoscope or tool and the object, or surface area information about the object to the user of the endoscopic system.
Example 8 is an endoscopic system as in any of Examples 1-7, wherein the image sensor provides image data that is output to a control system that determines at least one of a distance of an endoscope from an object, an angle between an endoscope and the object, surface area information about the object, size of surgical tools, size of structures, size of anatomical structures, location information, and other positional data and metrics to the user of the endoscopic system.
Example 9 is an endoscopic system as in any of Examples 1-8, wherein display of the laser map pattern may be activated or deactivated by the user of the endoscopic system.
Example 10 is an endoscopic system as in any of Examples 1-9, wherein the display provides real time measurements of one or more of a distance from an endoscope from an object, an angle between an endoscope and the object, or surface area information about the object to the user of the endoscopic system.
Example 11 is an endoscopic system as in any of Examples 1-10, wherein the real time measurements provided by the display are accurate to less than 10 centimeters.
Example 12 is an endoscopic system as in any of Examples 1-11, wherein the real time measurements provided by the display are accurate to less than 1 millimeter.
Example 13 is an endoscopic system as in any of Examples 1-12, wherein the imaging device comprises a first image sensor and a second image sensor to produce a three-dimensional image.
Example 14 is an endoscopic system as in any of Examples 1-13, wherein the system comprises a plurality of tools with each tool having one or more laser map patterns.
Example 15 is an endoscopic system as in any of Examples 1-14, wherein the light engine comprises a first output and a second output that are independent from one another, wherein the first output is for light illumination and the second output is for tool tracking.
Example 16 is an endoscopic system as in any of Examples 1-15, wherein each pulse of electromagnetic radiation results in an exposure frame created by the image sensor; wherein one or more exposure frames are displayed to a user as a single image on the display.
Example 17 is an endoscopic system as in any of Examples 1-16, wherein the single image is assigned a visible color for use on the display; wherein the visible color is 8-bit or 16-bit or n-bit.
Example 18 is an endoscopic system as in any of Examples 1-17, wherein each pulse of electromagnetic radiation results in an exposure frame created by the image sensor; wherein one or more exposure frames are displayed to a user as an overlay image on the display.
Example 19 is an endoscopic system as in any of Examples 1-18, wherein the overlay image is assigned a visible color for use on the display; wherein the visible color is 8-bit or 16-bit or n-bit.
Example 20 is an endoscopic system as in any of Examples 1-19, wherein the light engine comprises a polarization filter.
Example 21 is an endoscopic system as in any of Examples 1-20, wherein the polarization filter is located in a path of the electromagnetic radiation.
Example 22 is an endoscopic system as in any of Examples 1-21, wherein the polarization filter is located at a proximal end of the lumen.
Example 23 is an endoscopic system as in any of Examples 1-22, wherein the polarization filter is located at a distal end of the lumen.
Example 24 is an endoscopic system as in any of Examples 1-23, wherein the lens assembly comprises an electromagnetic radiation filter.
Example 25 is an endoscopic system as in any of Examples 1-24, wherein the lens assembly comprises a polarization filter.
Example 26 is an endoscopic system as in any of Examples 1-25, wherein each pulse of electromagnetic radiation results in an exposure frame created by the image sensor; wherein one or more exposure frames is fed to a corresponding system that will provide location of critical tissue structures.
Example 27 is an endoscopic system as in any of Examples 1-26, wherein the location of critical structures is received by the endoscopic system and overlaid on a display, wherein the critical structures are encoded to any color selected by either an algorithm or a user.
It will be appreciated that various features disclosed herein provide significant advantages and advancements in the art. The following claims 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 claimed disclosure requires more features than are expressly recited in each claim. 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 and the appended claims are intended to cover such modifications and arrangements.
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) or field programmable gate arrays (FPGAs) can be programmed to carry out one or more of the systems and procedures described herein. Certain terms are used throughout the following description and claims 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.
The foregoing description has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. Further, it should be noted that any or all the aforementioned alternate implementations may be used in any combination desired to form additional hybrid implementations of the disclosure.
Further, although specific implementations of the disclosure have been described and illustrated, the disclosure is not to be limited to the specific forms or arrangements of parts so described and illustrated. The scope of the disclosure is to be defined by the claims appended hereto, any future claims submitted here and in different applications, and their equivalents.
This application claims the benefit of U.S. Provisional Patent Application No. 62/610,888, filed Dec. 27, 2017, titled “HYPERSPECTRAL IMAGING IN A LIGHT DEFICIENT ENVIRONMENT,” and claims the benefit of U.S. Provisional Patent Application No. 62/723,989, filed Aug. 28, 2018, titled “HYPERSPECTRAL IMAGING IN A LIGHT DEFICIENT ENVIRONMENT,” which are incorporated herein by reference 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 provisional applications are inconsistent with this application, this application supersedes the above-referenced provisional applications. Not applicable.
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