The application discloses an
aneurysm segmentation
landing zone positioning and identifying method and
system based on an optimal
blood flow guiding model, and the method comprises the following steps: collecting image data of a target
blood vessel region, and pre-
processing the image data to obtain a
blood vessel enhanced image; performing binaryzation on the
blood vessel enhanced image to obtain a blood vessel cavity binary
mask; extracting a tree-shaped blood vessel center line from the blood vessel enhanced image by using a blood vessel center line
extraction algorithm; analyzing the tree-shaped blood vessel center line to obtain a multi-
modal fusion
feature vector; predicting a neck
aneurysm probability value of the multi-
modal fusion
feature vector by using a pre-constructed neck
aneurysm detection
deep learning model, and screening a candidate neck aneurysm region and a
parent artery region; and performing membrane membrane on the candidate neck aneurysm region and the
parent artery region by using a blood vessel cavity three-dimensional binary
mask, and extracting a device anchoring
landing zone. According to the scheme, the neck aneurysm precisely positioned by the membrane membrane is taken as a starting point, and an anchoring
landing zone section can be accurately screened out by searching upstream and downstream along the
parent artery center line.