Method and system for automated analysis of coronary angiograms

Abstract

Disclosed herein are methods and systems for angiography interpretation. In one particular embodiment a method includes: classifying the primary anatomic structure of one or more angiogram images of a first patient; classifying the projection angle of the one or more angiogram images of the first patient; labeling stenoses within the one or more angiogram images of the first patient classified as including a left or right coronary artery; producing one or more angiogram images of a second patient with corresponding estimated stenoses of the second patient to produce training data; training a machine learning model with the training data; estimating the arterial stenoses severity of the first patient by running the machine learning model on the filtered and labeled one or more angiogram images of the first patient, wherein the machine learning model is only run on angiogram images previously labeled as including stenoses.