SYSTEMS AND METHODS FOR TRACKING A POSITION OF A ROBOTICALLY-MANIPULATED SURGICAL INSTRUMENT

    公开(公告)号:US20250090241A1

    公开(公告)日:2025-03-20

    申请号:US18896529

    申请日:2024-09-25

    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.

    CONVOLUTIONAL NEURAL NETWORKS FOR EFFICIENT TISSUE SEGMENTATION

    公开(公告)号:US20210406596A1

    公开(公告)日:2021-12-30

    申请号:US17293004

    申请日:2019-11-14

    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.

    SYSTEMS AND METHODS FOR TRACKING A POSITION OF A ROBOTICALLY-MANIPULATED SURGICAL INSTRUMENT

    公开(公告)号:US20210290317A1

    公开(公告)日:2021-09-23

    申请号:US17264257

    申请日:2019-07-27

    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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