ULTRASOUND LOCALIZATION SYSTEM WITH ADVANCED BIOPSY SITE MARKERS

    公开(公告)号:US20250114148A1

    公开(公告)日:2025-04-10

    申请号:US18894258

    申请日:2024-09-24

    Applicant: Hologic, Inc.

    Abstract: Disclosed biopsy markers are adapted to serve as localization markers during a surgical procedure. Adaptation includes incorporation of materials detectable under ultrasound during surgery, as well as features for co-registration with image guidance or other real-time imaging technologies during surgery. Such biopsy markers, when used as localization markers, improve patient comfort and reduce challenges in surgical coordination and surgery time. Additional disclosed biopsy markers are adapted to serve as monitoring and/or detection apparatuses. Localization of an implanted marker may be done with ultrasound technology. Ultrasound image data is analyzed to identify the implanted marker. A distance to the marker or a lesion may be determined and displayed. The determined distance may be a distance between the ultrasound probe and the marker or lesion, a distance between the marker or lesion and an incision instrument, and/or a distance between the ultrasound probe and the incision instrument.

    REAL-TIME AI FOR PHYSICAL BIOPSY MARKER DETECTION

    公开(公告)号:US20230098785A1

    公开(公告)日:2023-03-30

    申请号:US17800766

    申请日:2021-02-19

    Abstract: Examples of the present disclosure describe systems and methods for implementing real-time artificial intelligence (AI) for physical biopsy marker detection. In aspects, the physical characteristics for one or more biopsy site markers may be used to train an AI component of an ultrasound system. The trained AI may be configured to identify deployed markers. When information relating to the characteristics of a deployed marker is input into the ultrasound system, the trained AI may process the received information to create one or more estimated images of the marker, or identify echogenic properties of the marker. During an ultrasound of the site comprising the deployed marker, the AI may use the estimated images and/or identified properties to detect the shape and location of the deployed marker.

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