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International Journal of Biomedical Imaging
Volume 2007, Article ID 90216, 5 pages
Research Article

Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging

Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, MO, USA

Received 23 October 2006; Revised 31 May 2007; Accepted 8 September 2007

Academic Editor: Hongkai Zhao

Copyright © 2007 Ye Duan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.