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公开(公告)号：US11510561B2
公开(公告)日：2022-11-29
申请号：US16107305
申请日：2018-08-21
摘要： An endoscope includes a light source coupled to emit light, and a lens disposed proximate to a distal tip of the endoscope tube and structured to absorb at least some of the light. A controller is coupled to the light source, and the controller includes logic that when executed by the controller causes the endoscope to perform operations, including adjusting an emission profile of the light source to heat the lens with the light, and heating the lens mitigates formation of fog on the lens.
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2.发明申请公开(公告)号：US20220095905A1
公开(公告)日：2022-03-31
申请号：US17548336
申请日：2021-12-10
发明人： Vidya Ganapati , Eden Rephaeli
IPC分类号： A61B1/06 , G06K9/62 , G06T7/90 , G06K9/20 , A61B5/00 , G02B23/24 , G06F15/76 , A61B1/00 , A61B5/103 , A61B1/04 , G06N3/08 , A61B1/005 , G06N20/00
摘要： An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.
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3.发明授权公开(公告)号：US11229353B2
公开(公告)日：2022-01-25
申请号：US17011420
申请日：2020-09-03
发明人： Vidya Ganapati , Eden Rephaeli
IPC分类号： A61B1/06 , G06K9/62 , G06T7/90 , G06K9/20 , A61B5/00 , G02B23/24 , G06F15/76 , A61B1/00 , A61B5/103 , A61B1/04 , G06N3/08 , A61B1/005 , G06N20/00
摘要： An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.
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公开(公告)号：US20210038054A1
公开(公告)日：2021-02-11
申请号：US17069719
申请日：2020-10-13
发明人： Vidya Ganapati , Supriyo Sinha , Eden Rephaeli
摘要： A system for medical diagnosis includes a fiber optic cable and a plurality of light emitters optically coupled to a first end of the fiber optic cable. Each light emitter in the plurality of light emitters emits a distinct bandwidth of light. The system also includes a controller electrically coupled to the plurality of light emitters. The controller includes logic that when executed by the controller causes the controller to perform operations including: receiving instructions including an illumination mode, and adjusting an intensity of the light emitted from each light emitter in the plurality of light emitters to match the illumination mode.
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公开(公告)号：US10375330B2
公开(公告)日：2019-08-06
申请号：US15592622
申请日：2017-05-11
IPC分类号： H04N5/357 , A61B1/05 , A61B5/00 , G01B9/02 , A61B1/06 , H04N5/225 , G01B11/24 , G06T7/521 , G06T7/529 , A61B5/107
摘要： The present disclosure relates to systems and devices configured to determine the distance to objects within a field of view. Namely, at least a portion of the field of view may be illuminated with a coherent light source. Due to interactions between the laser light, the transmission medium, and the object, characteristic laser speckle patterns may be formed. These characteristic laser speckle patterns may be imaged with a camera. Using statistical image analysis, an estimated distance to the objects within the field of view may be obtained. For example, the image frame may be partitioned into a plurality of image segments. An autocorrelation for each image segment of the plurality of image segments may be obtained. A depth map may be obtained based on the autocorrelations.
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公开(公告)号：US10259126B1
公开(公告)日：2019-04-16
申请号：US15729289
申请日：2017-10-10
摘要： A device for relief of strain on a cable includes a modular base for mounting, a first arm, a second arm, and a spring assembly. The first arm is pivotally coupled to the modular base. A first proximal end of the first arm is connected to the modular base at a first pivot point for pivoting of the first arm about a first rotational axis. The second arm is coupled to the modular base. A second proximal end of the second arm is connected to the modular base. The spring assembly is coupled to the first arm to provide a clamping force between the first arm and the second arm.
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公开(公告)号：US20190105787A1
公开(公告)日：2019-04-11
申请号：US15729289
申请日：2017-10-10
摘要： A device for relief of strain on a cable includes a modular base for mounting, a first arm, a second arm, and a spring assembly. The first arm is pivotally coupled to the modular base. A first proximal end of the first arm is connected to the modular base at a first pivot point for pivoting of the first arm about a first rotational axis. The second arm is coupled to the modular base. A second proximal end of the second arm is connected to the modular base. The spring assembly is coupled to the first arm to provide a clamping force between the first arm and the second arm.
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公开(公告)号：US20190065905A1
公开(公告)日：2019-02-28
申请号：US16101653
申请日：2018-08-13
摘要： Embodiments may include a method to estimate motion data based on test image data sets. The method may include receiving a training data set comprising a plurality of training data elements. Each element may include an image data set and a motion data set. The method may include training a machine learning model using the training data set, resulting in identifying one or more parameters of a function in the machine learning model based on correspondences between the image data sets and the motion data sets. The method may further include receiving a test image data set. The test image data set may include intensities of pixels in a deep-tissue image. The method may include using the trained machine learning model and the test image data set to generate output data for the test image data set. The output data may characterize motion represented in the test image data set.
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9.发明授权公开(公告)号：US10806334B2
公开(公告)日：2020-10-20
申请号：US15445121
申请日：2017-02-28
发明人： Vidya Ganapati , Eden Rephaeli
IPC分类号： A61B1/06 , G06K9/62 , G06T7/90 , G06K9/20 , A61B5/00 , G02B23/24 , G06F15/76 , A61B1/00 , A61B5/103 , A61B1/04 , G06N3/08 , A61B1/005
摘要： An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.
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10.发明申请公开(公告)号：US20200012875A1
公开(公告)日：2020-01-09
申请号：US16574676
申请日：2019-09-18
摘要： An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.
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