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ICASSP
2011
IEEE

An atlas-based deep brain structure segmentation method: from coarse positioning to fine shaping

7 years 10 months ago
An atlas-based deep brain structure segmentation method: from coarse positioning to fine shaping
Segmentation of deep brain structures is a challenging task for MRI images due to blurry structure boundaries, small object size and irregular shapes. In this paper, we present a new atlas-based segmentation method. It first uses a prior spatial dependency tree to constrain the relative positions between different deep brain structures and determine an optimal sequence for the structureby-structure segmentation. After positioning the structures, the segmentation result is further fine tuned by a non-rigid registration procedure between the atlas image and the target image using the histogram of the gradient magnitudes lying on the structure boundaries. The proposed method has been applied on a publicly available MRI brain database and can achieve comparatively high segmentation accuracy.
Yishan Luo, Albert C. S. Chung
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Yishan Luo, Albert C. S. Chung
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