TORSIONAL DEPLOYMENT DETECTION OF A VASCULAR THERAPY

    公开(公告)号:US20210085421A1

    公开(公告)日:2021-03-25

    申请号:US16954700

    申请日:2018-12-19

    Abstract: A torque detection vascular therapy system employing a vascular therapy device (101) and a torque detection controller (130). The vascular therapy device (101) is operable to be transitioned from a pre-deployed state to a post-deployed state, and includes a matrix of imageable markers representative of a geometry of the vascular therapy device (101). The torque detection controller (130) controls a detection of a non-torsional deployment or a torsional deployment of the vascular therapy device (101) subsequent to a transition of the vascular therapy device (101) from the pre-deployed state to the post-deployed state by deriving a vector indication of the non-torsional deployment or the torsional deployment of the vascular therapy device (101) from a matrix orientation similarity or a matrix orientation dissimilarity between a baseline device geometry of the vascular therapy device (101) represented by the matrix of the imageable markers and an imaged device geometry of the vascular therapy device (101) represented by the matrix of imageable markers.

    AUTONOMOUS X-RAY CONTROL FOR ROBOTIC NAVIGATION

    公开(公告)号:US20200275982A1

    公开(公告)日:2020-09-03

    申请号:US16762630

    申请日:2018-11-12

    Abstract: An intervention system employing an interventional robot (30), an interventional imaging modality (10) and an interventional controller (70). In 5 operation, the interventional controller (70) navigates an anatomical roadmap (82) of an anatomical region of a patient in accordance with an interventional plan to thereby control a navigation of the interventional robot (30) within the anatomical region in accordance with the anatomical roadmap (82). Upon a detection by the interventional controller (70) of an occurrence of the interventional controller (70) navigating 10 proximately to a critical anatomical location within the anatomical roadmap (82), the interventional controller (70) pauses the navigation of the interventional robot (30) within anatomical region and autonomously controls an operation of the interventional imaging modality (10) for generating an updated anatomical roadmap (82) of the anatomical region whereby the interventional controller (70) navigates the updated 15 anatomical roadmap (82) of the anatomical region in accordance with the interventional plan to thereby control a resumed navigation of the interventional robot (30) within the anatomical region.

    IMAGE-BASED FUSION OF ENDOSCOPIC IMAGE AND ULTRASOUND IMAGES

    公开(公告)号:US20190290247A1

    公开(公告)日:2019-09-26

    申请号:US16304405

    申请日:2017-05-30

    Abstract: A image fusion workstation for an image-based fusion of an endoscopic image (33) of an anatomical region generated by an endoscope (31) and an ultrasound image (43) of the anatomical region generated by a laparoscopic ultrasound probe (41). The image fusion workstation employs an image fusion controller (50) controlling the fusion between the endoscopic image (33) and the ultrasound image (43) based on an image transformation between an endoscopic image space of the endoscope (31) and an ultrasound image space of the laparoscopic ultrasound probe (41) derived from a detection by the image fusion controller (50) of the laparoscopic ultrasound probe (41) within a field-of-view (32) of the endoscope (31) of the anatomical region. The image fusion workstation further employs a display controller (60) controlling a display of the fusion by the image fusion controller (50) of the endoscopic image (33) and the ultrasound image (43).

    DYNAMIC TISSUE IMAGERY UPDATING
    14.
    发明公开

    公开(公告)号:US20240130790A1

    公开(公告)日:2024-04-25

    申请号:US17768262

    申请日:2020-10-15

    Abstract: A controller (122) includes a memory (12220) that stores instructions and a processor (12210) that executes the instructions. When executed, the instructions cause the controller (122) to implement a process that includes obtaining (S405) pre-operative imagery of the tissue in a first modality, registering (S425) the pre-operative imagery of the tissue in the first modality with a set of sensors (195-199) adhered to the tissue, and receiving (S435), from the set of sensors (195-199), sets of electronic signals for positions of the set of sensors (195-199). The process also includes computing (S440) geometry of the positions of the set of sensors (195-199) for each set of the sets of electronic signals and computing (S450) movement of the set of sensors (195-199) based on changes in the geometry of the positions of the set of sensors (195-199) between sets of electronic signals from the set of sensors (195-199). The pre-operative imagery is updated to reflect changes in the tissue based on movement of the set of sensors (195-199).

    GUIDED ANATOMICAL MANIPULATION FOR ENDOSCOPIC PROCEDURES

    公开(公告)号:US20230009335A1

    公开(公告)日:2023-01-12

    申请号:US17783392

    申请日:2020-12-02

    Abstract: Various embodiments of the present disclosure encompass manipulative endoscopic guidance device employing an endoscopic viewing controller (20) for controlling a display of an endoscopic view (11) of an anatomical structure, and a manipulative guidance controller (30) for controlling a display of one or more guided manipulation anchors (50-52) within the display of the endoscopic view (11) of the anatomical structure. A guided manipulation anchor (50-52) is representative of a location marking and/or a motion directive of a guided manipulation of the anatomical structure (e.g., grasping, pulling, pushing, sliding, reorienting, tilting, removing, or repositioning of the anatomical structure). The manipulative guidance controller (30) may generate an anchor by analyzing a correlation of the endoscopic view (11) of the anatomical structure with a knowledge base of image(s), model(s) and/or details corresponding to the anatomical structure and by deriving the anchor based on a degree of correlation of the endoscopic view (11) of the anatomical structure with the knowledge base.

    INTERACTIVE ENDOSCOPY FOR INTRAOPERATIVE VIRTUAL ANNOTATION IN VATS AND MINIMALLY INVASIVE SURGERY

    公开(公告)号:US20220358773A1

    公开(公告)日:2022-11-10

    申请号:US17641940

    申请日:2020-09-11

    Abstract: A controller (522) for live annotation of interventional imagery includes a memory (52220) that stores software instructions and a processor (52210) that executes the software instructions. When executed by the processor (52210), the software instructions cause the controller (522) to implement a process that includes receiving (S210) interventional imagery during an intraoperative intervention and automatically analyzing (S220) the interventional imagery for detectable features. The process executed when the processor (52210) executes the software instructions also includes detecting (S230) a detectable feature and determining (S240) at add an annotation to the interventional imagery for the detectable feature. The processor further includes identifying (S250) a location for the annotation as an identified location in the interventional imagery and adding (S260) the annotation to the interventional imagery at the identified location to correspond to the detectable feature. During the intraoperative intervention, a video is output (S270) as video output based on interventional imagery and the annotation, including the annotation overlaid on the interventional imagery at the identified location.

    DYNAMIC INTERVENTIONAL THREE-DIMENSIONAL MODEL DEFORMATION

    公开(公告)号:US20220156925A1

    公开(公告)日:2022-05-19

    申请号:US17438990

    申请日:2020-03-13

    Abstract: A controller for assisting navigation in an interventional procedure includes a memory that stores instructions and a processor (310) that executes the instructions. When executed by the processor (310), the instructions cause the controller to implement a process that includes obtaining (S410) a three-dimensional model generated prior to an interventional procedure based on segmenting pathways with a plurality of branches in a subject of the interventional procedure. The process also includes determining (S470), during the interventional procedure, whether a current position of a tracked device (250) is outside of the pathways in the three-dimensional model. When the current position of the tracked device (250) is outside of the pathways in the three-dimensional model, the process includes deforming (S480) the three-dimensional model to the current position of the tracked device (250).

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