Method and system for estimating the cerebrovascular age from medical imaging

摘要

The present invention relates to a method for estimating brain vascular age from a medical image and a system thereof. The method for estimating brain vascular age from a medical image comprises the steps of: collecting brain vascular images with age information of a plurality of subjects; pre-processing a brain vascular image with age information to detect the position of a middle cerebral artery (MCA) for machine learning through a convolutional neural network (CNN) having a plurality of learning layers; machine-learning through the convolutional neural network (CNN) comprising a plurality of convolutional layers for calculating feature maps by using the pre-processed brain vascular image with the age information as an input value of an input layer and applying a weight to the input value; and estimating a brain vascular age through the machine-learned convolutional neural network (CNN). According to the present invention, by quantifying the morphological changes of TOF MRA through machine learning, it is possible to predict cerebral vascular age as a single measure or index to assess the overall aging state of cerebral vessels. In addition, the present invention can be used as an imaging biomarker for aging of brain and blood vessels so that it is possible to diagnose a specific disease early and prevent the disease by identifying an individual′s health and utilizing information thereof to promote health.