Sciweavers

31
Voted
MICCAI
2008
Springer

Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images

15 years 1 days ago
Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images
Abstract. Several recent studies explored the use of unsupervised segmentation methods for segmenting thalamic nuclei from diffusion tensor images. These methods provide a plausible segmentation on individual subjects; however, they do not address the problem of consistently identifying the same functional areas in a population. The lack of correspondence between the segmented nuclei make it more difficult to use the results from the unsupervised segmentation tools for morphometry. In this paper we present a novel segmentation algorithm to automatically segment the gray matter nuclei while ensuring consistency between subjects in a population. This new algorithm, referred to as Consistency Clustering, finds correspondence between the nuclei as the segmentation is achieved through a single model for the whole population, similar to the brain atlases experts use to identify thalamic nuclei.
Ulas Ziyan, Carl-Fredrik Westin
Added 06 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where MICCAI
Authors Ulas Ziyan, Carl-Fredrik Westin
Comments (0)