The invention belongs to the field of image
data processing, particularly relates to a
blood vessel registration method,
system and device for an intravascular
aneurysm operation, and aims at solvingthe problems that a registration image generated by an existing
image registration technology is fuzzy, long in consumed time and much in interference. The method comprises the following steps: converting an acquired CTA image into an
aorta blood vessel three-dimensional image, further converting the
aorta blood vessel three-dimensional image into an
aorta blood vessel two-dimensional image, converting a DSA image into an aorta blood vessel
binary image, and obtaining a registered image through a blood vessel registration network based on
deep learning, wherein the blood vessel registration network is constructed based on the regression device sub-network, the
space transformation sub-network and the re-sampling sub-network. According to the invention, the problem that the DSA image is blurred in the operation can be solved, the
abdominal aortic aneurysm position can be found more quickly and accurately in the current X-
ray transmission image, and the requirement for assisting a doctorin the intravascular
aneurysm repair operation in real time can be met.