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Thalamus segmentation from diffusion tensor magnetic resonance imaging.

Author information

1
Dept. of Comput. Sci., Missouri Univ., Columbia, MO 65211, USA.

Abstract

In this paper, we propose a semi-automatic thalamus and thalamus nuclei segmentation algorithm from diffusion tensor magnetic resonance imaging (DT-MRI) based on the mean-shift algorithm. Comparing with existing thalamus segmentation algorithms which are mainly based on K-means algorithm, our mean-shift based algorithm is more flexible and adaptive. It does not assume a Gaussian distribution or a fixed number of clusters. Furthermore, the single parameter in the mean-shift based algorithm supports hierarchical clustering naturally.

PMID:
17947045
DOI:
10.1109/IEMBS.2006.260839
[Indexed for MEDLINE]

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