Lucian Mihai Itu,Puneet Sharma,Saikiran Rapaka,Tiziano Passerini,Max Schöbinger,Chris Schwemmer,Dorin Comaniciu,Thomas Redel
申请号：
US15508220
公开号：
US10463336B2
申请日:
2015.11.16
申请国别(地区):
US
年份:
2019
代理人:
摘要：
A method and system for determining hemodynamic indices, such as fractional flow reserve (FFR), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received. Patient-specific coronary arterial tree geometry of the patient is extracted from the medical image data. Geometric features are extracted from the patient-specific coronary arterial tree geometry of the patient. A hemodynamic index, such as FFR, is computed for a location of interest in the patient-specific coronary arterial tree based on the extracted geometric features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on geometric features extracted from synthetically generated coronary arterial tree geometries.
