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 To Detect And Display Endovascular Features

    公开(公告)号:US20210082121A1

    公开(公告)日:2021-03-18

    申请号:US17084805

    申请日:2020-10-30

    Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

    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 Of Combined Imaging

    公开(公告)号:US20250009320A1

    公开(公告)日:2025-01-09

    申请号:US18889949

    申请日:2024-09-19

    Inventor: Ajay Gopinath

    Abstract: Aspects of the disclosure relate to the combination and display of both live and non-live patient images. The features described include collecting angiographic image data, and correlating angiographic image frames to time-varying data relating to the patient's heart cycle. This time-varying data may then be compared with the patient's live heart cycle data so that the collected angiographic image frames can be interlaced within a display of live fluoroscopic images of the patient.

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