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公开(公告)号:US12045318B2
公开(公告)日:2024-07-23
申请号:US17293004
申请日:2019-11-14
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Brian D. Hoffman , Geoffrey A. Richmond , Siddarth Sen
CPC classification number: G06F18/285 , G06F18/214 , G06F18/2163 , G06F18/24 , G06N3/04 , G06V10/82 , G06V2201/031
Abstract: An imaging system is provided for pixel-level segmentation of images comprising: a camera to capture images of an anatomical object and to represent the images in two-dimensional (2D) arrangements of pixels; one or more processors and a non-transitory computer readable medium with information including: CNN instructions to cause the one or more processors to implement a CNN configured to associate anatomical object classifications with pixels of the 2D arrangements of pixels; and multiple sets of weights, to differently configure the CNN based upon different camera image training data; and a display screen configured to display the two-dimensional (2D) arrangements of classified pixels and the anatomical object classifications.
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2.
公开(公告)号:US20220175473A1
公开(公告)日:2022-06-09
申请号:US17600061
申请日:2020-03-31
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Heath Feather , Rohitkumar Godhani , Brian D. Hoffman , Brandon D. Itkowitz , Adam T. Schmidt , Siddarth Sen
Abstract: An exemplary processing system of a computer-assisted surgical system identifies an object in a surgical space, accesses a model of the object, identifies a pose of the object in the surgical space, aligns the model with the pose of the object to define depth data for the model in the surgical space, and generates a depth map in the surgical space for at least a portion of the object based on the depth data for the model. Corresponding systems and methods are also described.
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3.
公开(公告)号:US20250090241A1
公开(公告)日:2025-03-20
申请号:US18896529
申请日:2024-09-25
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Siddarth Sen , Brian D. Hoffman , Geoffrey A. Richmond
Abstract: An exemplary surgical instrument tracking system includes at least one physical computing device that determines, based on endoscopic imagery of a surgical area and using a trained neural network, an observation for an object of interest depicted in the endoscopic imagery, associates, based on a probabilistic framework and kinematics of a robotically-manipulated surgical instrument located at the surgical area, the observation for the object of interest to the robotically-manipulated surgical instrument, and determines a physical position of the robotically-manipulated surgical instrument at the surgical area based on the kinematics of the robotically-manipulated surgical instrument and the observation associated with the robotically-manipulated surgical instrument.
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公开(公告)号:US20240338421A1
公开(公告)日:2024-10-10
申请号:US18748918
申请日:2024-06-20
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Brian D. Hoffman , Geoffrey A. Richmond , Siddarth Sen
CPC classification number: G06F18/285 , G06F18/214 , G06F18/2163 , G06F18/24 , G06N3/04 , G06V10/82 , G06V2201/031
Abstract: An imaging system is provided for pixel-level segmentation of images comprising: a camera to capture images of an anatomical object and to represent the images in two-dimensional (2D) arrangements of pixels; one or more processors and a non-transitory computer readable medium with information including: CNN instructions to cause the one or more processors to implement a CNN configured to associate anatomical object classifications with pixels of the 2D arrangements of pixels; and multiple sets of weights, to differently configure the CNN based upon different camera image training data; and a display screen configured to display the two-dimensional (2D) arrangements of classified pixels and the anatomical object classifications.
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5.
公开(公告)号:US12108992B2
公开(公告)日:2024-10-08
申请号:US17264257
申请日:2019-07-27
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Siddarth Sen , Brian D. Hoffman , Geoffrey A. Richmond
CPC classification number: A61B34/20 , A61B34/70 , G06N3/047 , A61B2034/2065
Abstract: An exemplary surgical instrument tracking system includes at least one physical computing device that determines, based on endoscopic imagery of a surgical area and using a trained neural network, an observation for an object of interest depicted in the endoscopic imagery, associates, based on a probabilistic framework and kinematics of a robotically-manipulated surgical instrument located at the surgical area, the observation for the object of interest to the robotically-manipulated surgical instrument, and determines a physical position of the robotically-manipulated surgical instrument at the surgical area based on the kinematics of the robotically-manipulated surgical instrument and the observation associated with the robotically-manipulated surgical instrument.
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公开(公告)号:US20210406596A1
公开(公告)日:2021-12-30
申请号:US17293004
申请日:2019-11-14
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Brian D. Hoffman , Geoffrey A. Richmond , Siddarth Sen
Abstract: An imaging system is provided for pixel-level segmentation of images comprising: a camera to capture images of an N anatomical object and to represent the images in two-dimensional (2D) arrangements of pixels; one or more processors and a non-transitory computer readable medium with information including: CNN instructions to cause the one or more processors to implement a CNN configured to associate anatomical object classifications with pixels of the 2D arrangements of pixels; and multiple sets of N weights, to differently configure the CNN based upon different camera image training data; and a display screen configured to display the two-dimensional (2D) arrangements of classified pixels and the anatomical object classifications.
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7.
公开(公告)号:US20210290317A1
公开(公告)日:2021-09-23
申请号:US17264257
申请日:2019-07-27
Applicant: Intuitive Surgical Operations, Inc.
Inventor: Siddarth Sen , Brian D. Hoffman , Geoffrey A. Richmond
Abstract: An exemplary surgical instrument tracking system includes at least one physical computing device that determines, based on endoscopic imagery of a surgical area and using a trained neural network, an observation for an object of interest depicted in the endoscopic imagery, associates, based on a probabilistic framework and kinematics of a robotically-manipulated surgical instrument located at the surgical area, the observation for the object of interest to the robotically-manipulated surgical instrument, and determines a physical position of the robotically-manipulated surgical instrument at the surgical area based on the kinematics of the robotically-manipulated surgical instrument and the observation associated with the robotically-manipulated surgical instrument.
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