This invention discloses an
artificial intelligence-based method for measuring aneurysms in cranial arterial
angiography images, comprising the following steps: S1, acquiring keyframes of DSA images; S2, segmenting the keyframes using a deep neural network to distinguish between the background and blood vessels; S3, determining the
aneurysm location region based on the segmentation results, obtaining the contour of the region, and simultaneously obtaining the length of the connection between the gray
aneurysm region and the white
blood vessel region, i.e., the
aneurysm diameter width w; S4, based on the obtained aneurysm contour shape, calculating the aneurysm
centroid O by spatial moments, drawing a perpendicular line through the
centroid O and intersecting the contour boundary, traversing all angles, and taking the largest intersection
line segment as the
maximum diameter l of the aneurysm, drawing a perpendicular line from the aneurysm
diameter width w and intersecting the contour boundary, the maximum height of which is the aneurysm height h. This invention achieves
fully automated measurement of the
diameter of cerebral vascular aneurysms through a deep neural network trained on a large amount of data, solving the problems of
slow speed, poor accuracy, and large influence of subjective factors in manual measurement.