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Method and system for machine learning based assessment of fractional flow reserve
专利权人:
发明人:
Puneet Sharma,Ali Kamen,Bogdan Georgescu,Frank Sauer,Dorin Comaniciu,Yefeng Zheng,Hien Nguyen,Vivek Kumar Singh
申请号:
US14684529
公开号:
US09538925B2
申请日:
2015.04.13
申请国别(地区):
US
年份:
2017
代理人:
摘要:
A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
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中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/
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