Research on Segmentation for MR Image Based Brain Atlas and Level Set
Binrong Ma · Zhongguo yixue wulixue zazhi · 2006
In this paper,a MR image segmentation method was presented by unifying prior knowledge of atlas and level set arithmetic.The main processes:(1) choose a digital brain atlas and preprocess it;(2) perform the atlas and the MR image registration;(3) initialize level set arithmetic based on contour information of the atlas.Realize skull and cerebrospinal(CSF) extraction and achieve gray matter(GM) and white matter(WM) segmentation.Experiment results showed that the problem of level set initializations was solved based on the information of atlas and it could reduce the solution space and iteration.This method is characterized by robustness.