Systems and methods for classification of arterial image regions and features thereof

    公开(公告)号:US12148165B2

    公开(公告)日:2024-11-19

    申请号:US18204493

    申请日:2023-06-01

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    Systems and methods for classification of arterial image regions and features thereof

    公开(公告)号:US11250294B2

    公开(公告)日:2022-02-15

    申请号:US16741718

    申请日:2020-01-13

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    SYSTEMS AND METHODS FOR CLASSIFICATION OF ARTERIAL IMAGE REGIONS AND FEATURES THEREOF

    公开(公告)号:US20200226422A1

    公开(公告)日:2020-07-16

    申请号:US16741718

    申请日:2020-01-13

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    Systems and methods for classification of arterial image regions and features thereof

    公开(公告)号:US12190521B2

    公开(公告)日:2025-01-07

    申请号:US18204493

    申请日:2023-06-01

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    Automatic Alignment of Two Pullbacks
    9.
    发明公开

    公开(公告)号:US20240346670A1

    公开(公告)日:2024-10-17

    申请号:US18292188

    申请日:2022-07-06

    CPC classification number: G06T7/33 G06T7/0012 G06T2207/30101

    Abstract: The present disclosure provides systems and methods for automatically aligning intravascular data taken during a plurality of pullbacks in a target blood vessel. Extraluminal images may be taken to determine the location of the guide catheter in the target vessel. Two or more pullbacks may then be performed in the target vessel. The start and end point of each pullback may be determined. A distance between the end point of each pullback and the proximal tip, or junction point, of the guide catheter may be determined. A difference between the end point of each pullback and the junction point may be determined. The difference between the distances from the end of the pullback and the junction point may correspond to the distance to offset one of the representations of the pullbacks in order to automatically align the representation of the pullbacks.

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