COMBINED ASSESSMENT OF MORPHOLOGICAL AND PERIVASCULAR DISEASE MARKERS

    公开(公告)号:US20240371000A1

    公开(公告)日:2024-11-07

    申请号:US18756734

    申请日:2024-06-27

    Abstract: A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.

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