The invention discloses a brain venation
plexus vesicle segmentation method, and the method comprises the steps: firstly reinforcing the
signal contrast of the whole venation
plexus through a high-resolution T1 enhanced image, and then achieving the stable segmentation of vesicles through employing the two steps: the whole segmentation of the venation
plexus and the segmentation of the vesicles. In the
vesicle segmentation process, as the vesicles are filled with
cerebrospinal fluid, the difference between a venation plexus entity (high
signal) and the
cerebrospinal fluid (low
signal) in a T1 enhanced image is utilized, a
vesicle segmentation reference threshold value is set, and vesicle
voxel separation is realized through low-pass filtering. According to the method, the vesicle structure of the cerebral venation plexus can be segmented, the volume of the vesicle structure can be calculated, and the volume of the vesicle of the cerebral venation plexus can be used as an image marker for auxiliary diagnosis of
nerve diseases such as Alzheimer's
disease.