Diagnostic system for diagnosing coronary artery lesions through ultrasound image-based machine learning and the diagnostic method thereof

摘要

The present invention relates to a diagnostic system for predicting a fractional flow reserve (FFR) based on an ultrasound image of a coronary artery through a machine learning algorithm, and diagnosing a coronary lesion, and a diagnostic method thereof. The diagnostic method for diagnosing an ischemic lesion of a coronary artery according to the present invention includes the steps of acquiring an IVUS image of a patient's coronary lesion, and inputting the IVUS image into a first artificial intelligence model to acquire a mask image in which the vessel lumen is separated , extracting IVUS features from the mask image, and inputting information including IVUS features into a second artificial intelligence model to obtain an FFR predicted value, and determining whether an ischemic lesion is present.