Coronary artery three-dimensional image segmentation method

The invention provides a coronary artery three-dimensional image segmentation method, and the method comprises the steps: building a coronary artery classification model library in advance; inputting medical image data; selecting a seed point, and enabling the inputted medical image data to be matched with a classification mode in the classification model library; carrying out blood vessel growth according to a conventional regional growth algorithm if there is no matched classification model, and then carrying out manual correction of a grown image; carrying out blood vessel growth based on the range and direction of a matched classification model if there is the matched classification model; carrying blood vessel growth according to the conventional regional growth algorithm if a blood vessel is judged to be unable to grow normally, carrying out the manual correction of the image, and adding a new coronary artery classification model, which cannot complete the growth normally, to the classification model; and obtaining a coronary artery three-dimensional image if the blood vessel is judged to be able to grow normally.