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    SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING
    2.
    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.

    METHOD AND SYSTEM FOR FACILITATING PHYSIOLOGICAL COMPUTATIONS
    4.
    发明申请
    METHOD AND SYSTEM FOR FACILITATING PHYSIOLOGICAL COMPUTATIONS 审中-公开
    促进生理学计算的方法和系统

    公开(公告)号：US20160132657A1

    公开(公告)日：2016-05-12

    申请号：US14988040

    申请日：2016-01-05

    申请人： HeartFlow, Inc.

    发明人： Jin KIM ,  Michael SINGER

    IPC分类号： G06F19/00

    CPC分类号： G16B5/00 ,  G16H50/50

    摘要： A system for noninvasively determining at least one physiological characteristic of a patient may include at least one computer system configured to, using a three-dimensional surface mesh model created using patient-specific imaging data, create a three-dimensional combined surface and volume mesh model, including at least a first model portion that has a different spatial resolution than at least a second model portion. The computer system may be further configured to input the three-dimensional surface and volume mesh model into a fluid simulation system and determine a measurement of the physiological characteristic, using the fluid simulation system.

    摘要翻译： 用于非侵入性地确定患者的至少一种生理特征的系统可以包括至少一个计算机系统，其被配置为使用使用患者特异性成像数据创建的三维表面网格模型，创建三维组合表面和体积网格模型 包括至少具有与至少第二模型部分不同的空间分辨率的第一模型部分。 计算机系统还可以被配置为使用流体模拟系统将三维表面和体积网格模型输入流体模拟系统并确定生理特性的测量。