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    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO MODEL NUTRIENT TRANSPORT
    1.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO MODEL NUTRIENT TRANSPORT 有权

    公开(公告)号：US20220335859A1

    公开(公告)日：2022-10-20

    申请号：US17810735

    申请日：2022-07-05

    申请人： HeartFlow, Inc.

    发明人： Sethuraman SANKARAN ,  Christopher ZARINS ,  Charles A. TAYLOR ,  Leo GRADY

    IPC分类号： G09B23/30 ,  G16H50/50 ,  G16H50/20 ,  G09B9/00

    摘要： Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving a patient-specific anatomical model of at least a portion of a visceral vascular system of the patient; receiving patient-specific information related to the patient's food intake; generating a patient-specific model of blood flow in the patient-specific anatomical model of the portion of the visceral vascular system of the patient; generating a patient-specific model of nutrient transport from at least a part of a gastrointestinal system of the patient to the portion of the visceral vascular system of the patient based on the patient-specific information related to the patient's food intake; and determining an indicia of energy available in the patient based on the patient-specific model of nutrient transport.

    SYSTEMS AND METHODS FOR ASSESSING THE SEVERITY OF PLAQUE AND/OR STENOTIC LESIONS USING CONTRAST DISTRIBUTION PREDICTIONS AND MEASUREMENTS
    2.
    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.

    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO PREDICT LESIONS
    4.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO PREDICT LESIONS 有权

    公开(公告)号：US20220230312A1

    公开(公告)日：2022-07-21

    申请号：US17713467

    申请日：2022-04-05

    申请人： HeartFlow, Inc.

    发明人： Gilwoo CHOI ,  Leo GRADY ,  Charles A. TAYLOR

    IPC分类号： G06T7/00 ,  G06N20/00 ,  G16H50/50 ,  G16H50/20 ,  G16Z99/00 ,  G06V10/44 ,  G06V30/194 ,  A61B5/02 ,  A61B5/00 ,  G06N7/00

    摘要： Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.

    SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING
    7.
    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.

    SYSTEMS AND METHODS FOR REPORTING BLOOD FLOW CHARACTERISTICS
    8.
    发明申请
    SYSTEMS AND METHODS FOR REPORTING BLOOD FLOW CHARACTERISTICS 有权

    公开(公告)号：US20210074435A1

    公开(公告)日：2021-03-11

    申请号：US17101378

    申请日：2020-11-23

    申请人： HeartFlow, Inc.

    发明人： Charles A. TAYLOR ,  Gregory R. HART

    IPC分类号： G16H50/50 ,  A61B5/026 ,  A61B5/02 ,  A61B5/00 ,  G16H10/60 ,  G16H30/20

    摘要： Embodiments include a system for displays cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The computer system may determine at least one value of the blood flow characteristic within the patient's heart based on the model. The computer system may also display a report comprising a representation of at least one artery corresponding to at least a portion the model, and display one or more indicators of the value of the blood flow characteristic on a corresponding portion of the at least one artery.