Clustering fiber traces using normalized cuts

A. Brun, H. Knutsson, H. J. Park, M. E. Shenton, C. F. Westin
Proceedings of the 7th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI (1)
Pages 368-375
2004

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Abstract

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 theNcut 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.

Reference

Brun A, Knutsson H, Park HJ, Shenton ME, Westin CF. Clustering fiber traces using normalized cuts. In Proceedings of the 7th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI (1). 2004;368-375.

Grants

NIH P41 RR13218, NIH RO1 MH50747, CIMIT, KOSEF

Research area

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