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    SYSTEMS AND METHODS FOR ASSESSING THE SEVERITY OF PLAQUE AND/OR STENOTIC LESIONS USING CONTRAST DISTRIBUTION PREDICTIONS AND MEASUREMENTS
    7.
    发明申请
    SYSTEMS AND METHODS FOR ASSESSING THE SEVERITY OF PLAQUE AND/OR STENOTIC LESIONS USING CONTRAST DISTRIBUTION PREDICTIONS AND MEASUREMENTS 有权

    公开(公告)号：US20220265239A1

    公开(公告)日：2022-08-25

    申请号：US17663076

    申请日：2022-05-12

    申请人： HeartFlow, Inc.

    发明人： Charles A. TAYLOR ,  Leo GRADY ,  Sethuraman SANKARAN ,  Souma SENGUPTA ,  Hyun Jin KIM ,  Nan XIAO

    IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B8/06 ,  A61B8/08 ,  A61B5/026 ,  G06T7/00 ,  G16H50/50

    摘要： Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes: receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patient's vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

    SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING
    8.
    发明申请
    SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING 有权

    公开(公告)号：US20210161384A1

    公开(公告)日：2021-06-03

    申请号：US17169912

    申请日：2021-02-08

    申请人： HeartFlow, Inc.

    发明人： Travis Michael SANDERS ,  Sethuraman SANKARAN ,  Leo GRADY ,  David SPAIN ,  Nan XIAO ,  Jin KIM ,  Charles A. TAYLOR

    IPC分类号： A61B5/00 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70 ,  G16H50/20 ,  A61B5/02

    摘要： Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.