Clustering Fiber Traces Using Normalized Cuts

In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to create a weighted undirected graph which is partitioned into coherent sets using the normalized cut (Ncut) criterion. A simple and yet effective method for pairwise comparison of fiber traces is presented which in combination with the Ncut criterion is shown to produce plausible segmentations of both synthetic and real fiber trace data. Segmentations are visualized as colored stream-tubes or transformed to a segmentation of voxel space, revealing structures in a way that looks promising for future explorative studies of diffusion weighted MRI data.

• Type: Conference
• Year: 2004
• Where: MICCAI
• Authors: Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha Elizabeth Shenton, Carl-Fredrik Westin
• Keywords: Diffusion Weighted Mri, Fiber Traces, Medical Imaging, MICCAI 2004, Weighted Undirected Graph