title: Clustering Fiber Traces Using Normalized Cuts.
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.
authors.affiliation: Department. of Biomedical Engineering, Linköping University, Sweden.
authors.forename: Anders
authors.initials: A
authors.lastname: Brun
authors.forename: Hans
authors.initials: H
authors.lastname: Knutsson
authors.forename: Hae-Jeong
authors.initials: HJ
authors.lastname: Park
authors.forename: Martha E
authors.initials: ME
authors.lastname: Shenton
authors.forename: Carl-Fredrik
authors.initials: CF
authors.lastname: Westin