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SYSTEMS AND METHODS FOR ESTIMATING BLOOD FLOW CHARACTERISTICS FROM VESSEL GEOMETRY AND PHYSIOLOGY

机译:从血管几何和生理学估算血液流动特征的系统和方法

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.
机译:公开了用于估计患者特定的血流特征的系统和方法。一种方法包括:为多个个体中的每个个体获取几何模型和该个体的血管系统的至少一部分的估计血流特征;以及对所述多个个体中的每一个对所述几何模型和估计的血流特征执行机器学习算法;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征的特征;为患者获取患者血管系统至少一部分的几何模型;使用识别出的特征为患者几何模型中多个点中的每个点生成患者血流特征的估计值。

著录项

  • 公开/公告号US2019336084A1

    专利类型

  • 公开/公告日2019-11-07

    原文格式PDF

  • 申请/专利权人 HEARTFLOW INC.;

    申请/专利号US201916514664

  • 发明设计人 LEO GRADY;GILWOO CHOI;MICHAEL SINGER;

    申请日2019-07-17

  • 分类号A61B5;A61B5/021;G16H50/50;A61B5/026;A61B5/02;A61B5/145;

  • 国家 US

  • 入库时间 2022-08-21 12:08:50

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