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    SYSTEMS AND METHODS FOR ESTIMATING BLOOD FLOW CHARACTERISTICS FROM VESSEL GEOMETRY AND PHYSIOLOGY
    11.
    发明申请
    SYSTEMS AND METHODS FOR ESTIMATING BLOOD FLOW CHARACTERISTICS FROM VESSEL GEOMETRY AND PHYSIOLOGY 审中-公开
    用于从血管几何和生理学估计血液流量特征的系统和方法

    公开(公告)号：US20140073977A1

    公开(公告)日：2014-03-13

    申请号：US13895893

    申请日：2013-05-16

    申请人： Leo GRADY ,  Gilwoo CHOI ,  Michael SINGER

    发明人： Leo GRADY ,  Gilwoo CHOI ,  Michael SINGER

    IPC分类号： A61B5/00 ,  A61B5/02 ,  A61B5/145 ,  A61B5/026 ,  A61B5/021

    CPC分类号： A61B5/7267 ,  A61B5/0022 ,  A61B5/02035 ,  A61B5/021 ,  A61B5/026 ,  A61B5/14535 ,  A61B5/742 ,  G16H50/20 ,  G16H50/50 ,  G16H50/70

    摘要： Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient's vascular system; and using the identified features to produce estimates of the patient's blood flow characteristic for each of a plurality of points in the patient's geometric model.

    摘要翻译： 公开了用于估计患者特异性血流特征的系统和方法。 一种方法包括为多个个体中的每一个获取个体血管系统的至少一部分的几何模型和估计的血流特性; 对所述多个个体中的每一个执行对所述几何模型的机器学习算法和估计的血流特性; 使用机器学习算法识别预测与几何模型中的多个点相对应的血流特性的特征; 为患者获取至少部分患者血管系统的几何模型; 以及使用所识别的特征来产生对患者几何模型中的多个点中的每一个点的患者血流特性的估计。