Systems and methods for estimation of blood flow characteristics using reduced order models and machine learning

摘要

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method comprises: receiving, in an electronic storage medium, patient-specific image data of at least a portion of a vascular structure of a patient having geometric features at one or more points; Generating a patient-specific reduced-order model from the received image data, wherein the patient-specific reduced-size model comprises a simplification of estimates and geometric features of impedance values at one or more points of the vasculature of the patient, Generating a patient-specific order model; Generating a feature vector including geometric features and estimates of impedance values for each of the one or more points of the patient-specific reduced-order model; And determining blood flow characteristics at 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 generated feature vectors at one or more points.