METHOD AND SYSTEM FOR AUTOMATICALLY SEGMENTING BLOOD VESSELS IN MEDICAL IMAGE BY USING MACHINE LEARNING AND IMAGE PROCESSING ALGORITHM

摘要

A method for automatically segmenting three-dimensional blood vessel data from three-dimensional medical image data of a patient through the use of a computer is provided. The method includes: receiving the three-dimensional medical image data of the patient; generating three-dimensional shape machine-learning blood vessel data from the received three-dimensional medical image data through the use of a machine-learned segmentation program so as to generate three-dimensional blood vessel data; and generating corrected three-dimensional shape blood vessel data from the received three-dimensional medical image data and the generated three-dimensional shape machine-learning blood vessel data through the use of an image processing program. The three-dimensional machine-learning blood vessel data is composed of at least one noise data set other than a blood vessel region and a data set in which the blood vessel region is missing. The image processing program is configured to compare the received three-dimensional medical image data and the generated three-dimensional shape machine-learning blood vessel data to match the blood vessel region, supplement the missing data set, and remove the noise data set, so as to generate corrected three-dimensional shape blood vessel data.