Clustering Fiber Traces Using Normalized Cuts

Citation:

Brun A, Knutsson H, Park H-J, Shenton ME, Westin C-F. Clustering Fiber Traces Using Normalized Cuts. Med Image Comput Comput Assist Interv. 2004;3216/2004 (3216) :368-375.

Date Published:

2004 Sep 02

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 (N cut) criterion. A simple and yet effective method for pairwise comparison of fiber traces is presented which in combination with the N cut 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.
Last updated on 01/24/2017