METHOD AND SYSTEM FOR MACHINE LEARNING BASED SEGMENTATION OF CONTRAST FILLED CORONARY ARTERY VESSELS ON MEDICAL IMAGES

摘要

A computer-implemented method for autonomous segmentation of contrast-filled coronary artery vessels, the method comprising the following steps: receiving (101) a x-ray angiography scan representing a maximum intensity projection of a region of anatomy that includes the coronary vessels on the imaging plane; preprocessing (102) the scan to output a preprocessed scan; and performing autonomous coronary vessel segmentation (103) by means of a trained convolutional neural network (CNN) that is trained to process the preprocessed scan data to output a mask denoting the coronary vessels.