Thalamus segmentation from diffusion tensor magnetic resonance imaging

Conf Proc IEEE Eng Med Biol Soc. 2006:2006:3628-31. doi: 10.1109/IEMBS.2006.260839.


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.

MeSH terms

  • Automation
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Models, Neurological
  • Thalamic Nuclei / anatomy & histology
  • Thalamic Nuclei / physiology
  • Thalamus / anatomy & histology*
  • Thalamus / physiology*