A Fully Automatic Cerebellum Segmentation Method Using an Active Contour Model with Shape Prior

Jinyoung Hwang¹, Junmo Kim¹, HyunWook Park¹

The segmentation of cerebellum in human brain is not widely used since the boundary between cerebrum and cerebellum is indistinguishable due to the partial volume effect. Although some literatures proposed the methodology in cerebellum segmentation, they are not the purpose of the cerebellum segmentation. In this work, we present fully automatic cerebellum segmentation method using shape priors in brain MR images, which already skull-stripped volume. We evaluated the proposed method to images from BrainWeb, 1.5T, and 3T MR scanner. The proposed method shows fine segmentation results, and it could be used for cerebellum generation in human brain.