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 (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.
Brun
Anders
A
Department. of Biomedical Engineering, Linköping University, Sweden.
Knutsson
Hans
H
Park
Hae-Jeong
HJ
Shenton
Martha E
ME
Westin
Carl-Fredrik
CF