Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Title: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004
Author: Brun, Anders; Knutsson, Hans; Park, Hae-Jeong; Shenton, Martha Elizabeth ORCID  0000-0003-4235-7879 ; Westin, Carl-Fredrik

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Citation: Brun A, Knutsson H, Park HJ, Shenton ME, Westin CF. 2004. Clustering Fiber Traces Using Normalized Cuts. Lect Notes Comput Sci 3216: 368-375. PMID: 20209048.
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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 (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.
Published Version: doi:10.1007/b100265
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33776182
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