Clustering Fiber Traces Using Normalized Cuts
2004 (English)In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I, Springer Berlin/Heidelberg, 2004, 368-375 p.Conference paper (Refereed)
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 the Ncut 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.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2004. 368-375 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 3216
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-22265DOI: 10.1007/978-3-540-30135-6_45Local ID: 1439ISBN: 978-3-540-22976-6 (print)ISBN: 978-3-540-30135-6 (online)OAI: oai:DiVA.org:liu-22265DiVA: diva2:242578
7th International Conference, Saint-Malo, France, September 26-29, 2004