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    Systems and methods for C-arm fluoroscope camera pose refinement with secondary movement compensation
    2.
    发明授权
    Systems and methods for C-arm fluoroscope camera pose refinement with secondary movement compensation 有权

    公开(公告)号：US11950951B2

    公开(公告)日：2024-04-09

    申请号：US17575465

    申请日：2022-01-13

    Applicant: Covidien LP

    Inventor： Guy Alexandroni ,  Ariel Birenbaum

    IPC: A61B6/00 ,  A61B90/00

    CPC classification number: A61B6/547 ,  A61B6/4441 ,  A61B6/487 ,  A61B90/39 ,  A61B2090/3966

    Abstract: Imaging systems and methods compensate for wigwag movement of a C-arm fluoroscope to refine camera pose estimates. The methods involve computing a primary movement axis from samples of markers in fluoroscopic images of a fluoroscopic sweep of a structure of markers and processing the primary movement axis to obtain a secondary movement axis. The methods further involve aligning two-dimensional samples of each marker with the primary and secondary movement axes to obtain an aligned signal and determining a difference signal for a secondary component of the aligned signal. The difference signal is then converted to a rotation axis translation signal. The method further involves estimating a 3D position of the rotation axis. The estimated pose of the C-arm fluoroscope is then refined to compensate for the wigwag movement using the rotation axis translation signal and the estimated 3D position of the rotation axis.

    PRE-PROCEDURE PLANNING, INTRA-PROCEDURE GUIDANCE FOR BIOPSY, AND ABLATION OF TUMORS WITH AND WITHOUT CONE-BEAM COMPUTED TOMOGRAPHY OR FLUOROSCOPIC IMAGING
    4.
    发明申请
    PRE-PROCEDURE PLANNING, INTRA-PROCEDURE GUIDANCE FOR BIOPSY, AND ABLATION OF TUMORS WITH AND WITHOUT CONE-BEAM COMPUTED TOMOGRAPHY OR FLUOROSCOPIC IMAGING 有权

    公开(公告)号：US20230130294A1

    公开(公告)日：2023-04-27

    申请号：US17955224

    申请日：2022-09-28

    Applicant: Covidien LP

    Inventor： William J. DICKHANS ,  Oren P. Weingarten ,  Evgeni Kopel ,  Avital Zik ,  Ariel Birenbaum

    IPC: A61B34/20

    Abstract: A system and method for navigation of a luminal network including receiving a computed tomography (CT) image data set, generating a three-dimensional (3D) model, displaying the 3D model in a user-interface on a display operatively connected to the computing device, and receiving an indication of a location of a tumor in the CT image data set. The system and method further including displaying the location of the tumor in the 3D model, receiving an indication of a margin around the tumor to achieve a desired therapy, generating a pathway to the tumor for navigation of a catheter, receiving a location of a sensor associated with a navigation catheter and registering the CT image data set with a luminal network of a patient, displaying the location of the sensor within the 3D model that substantially corresponds to the location of the sensor within the luminal network of the patient.

    System and method for local three dimensional volume reconstruction using a standard fluoroscope
    5.
    发明授权
    System and method for local three dimensional volume reconstruction using a standard fluoroscope 有权

    公开(公告)号：US11559266B2

    公开(公告)日：2023-01-24

    申请号：US16886573

    申请日：2020-05-28

    Applicant: Covidien LP

    Inventor： Ron Barak ,  Oren P. Weingarten ,  Ariel Birenbaum ,  Guy Alexandroni

    IPC: A61B5/05 ,  A61B6/12 ,  A61B6/00 ,  A61B34/20 ,  A61B6/02 ,  A61B90/00

    Abstract: A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

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