Duan Ye, Li Xiaoling, Xi Yongjian
Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia, MO 65211-2060, USA.
Int J Biomed Imaging. 2007;2007:90216. doi: 10.1155/2007/90216.
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.
我们提出了一种基于均值漂移算法的、用于从扩散张量磁共振成像(DT-MRI)中半自动分割丘脑及其核团的算法。与现有的主要基于K均值算法的丘脑分割算法相比,我们基于均值漂移的算法更加灵活且自适应。它不假定高斯分布或固定数量的聚类。此外,基于均值漂移的算法中的单一参数自然地支持层次聚类。