CT image-based blood vessel three-dimensional segmentation method

A CT image-based blood vessel three-dimensional segmentation method includes 1) reading CT contrastographic picture data, marking a layer first with blood vessels as the first layer and generating first layer seed points; 2) growing layer by layer from the second layer. The method in the first step includes acquiring the average value of gray values of the first layer; marking the central point of the image of the first layer as the first seed point, growing in the first layer and growing points adjacent to the seed point and whose gray values greater than the average value to be seed points. The method in the second step includes calculating the average values of gray values of seed points and non-seed points of the last layer respectively and performing weighing calculation of the average values so as to obtain the minimum gray value Mi of the seed points in the current layer; growing to the current layer from the seed points of the last layer; and growing layer by layer as the above-mentioned way until no new seed points generate any more. The collection of all the seed point forms a blood vessel three-dimensional segmentation image. The invention aims to provide the CT image-based blood vessel three-dimensional segmentation method reducing dependence on experience of operators, improving segmentation accuracy and completeness.