SANDERS, TRAVIS MICHAEL,SANKARAN, SETHURAMAN,GRADY, LEO,SPAIN, DAVID,XIAO, NAN,KIM, JIN,TAYLOR, CHARLES
申请号：
CA3037492
公开号：
CA3037492A1
申请日:
2017.09.19
申请国别(地区):
CA
年份:
2018
代理人:
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 mode! 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.
