title: Thalamus segmentation from diffusion tensor magnetic resonance imaging.
abstract: 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.
authors.affiliation: Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia, MO 65211-2060, USA.
authors.forename: Ye
authors.initials: Y
authors.lastname: Duan
authors.forename: Xiaoling
authors.initials: X
authors.lastname: Li
authors.forename: Yongjian
authors.initials: Y
authors.lastname: Xi