Lucian Mihai Itu,Saikiran Rapaka,Tiziano Passerini,Puneet Sharma
申请号：
US15968836
公开号：
US20190336096A1
申请日:
2018.05.02
申请国别(地区):
US
年份:
2019
代理人:
摘要：
A method and system for fast non-invasive computer-based computation of a hemodynamic index, such as fractional flow reserve (FFR) from medical image data of a patient is disclosed. A patient-specific anatomical model of one or more arteries of a patient is automatically generated based on medical image data of the patient. Regions in the automatically generated patient-specific anatomical model for which user feedback is required for accurate computation of a hemodynamic index are predicted using one or more trained machine learning models.
