Clustering Fiber Traces Using Normalized Cuts.
Anders Brun,Hans Knutsson,Hae-Jeong Park,Hae-Jeong Park,Martha E. Shenton,Carl-Fredrik Westin +5 more
- Vol. 3216, Iss: 3216, pp 368-375
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TLDR
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.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 (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.read more
Citations
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Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas
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QuickBundles, a Method for Tractography Simplification
Eleftherios Garyfallidis,Eleftherios Garyfallidis,Matthew Brett,Marta M Correia,Guy B. Williams,Ian Nimmo-Smith +5 more
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Corpus callosal connection mapping using cortical gray matter parcellation and DT-MRI
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Visualization in Medicine: Theory, Algorithms, and Applications
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Proceedings ArticleDOI
Evaluation of fiber clustering methods for diffusion tensor imaging
TL;DR: This work proposes a framework to validate clustering methods for white-matter fibers using a new measure to assess the difference between the ground truth and the clusterings, and evaluated different clustering algorithms including shared nearest neighbor clustering, which has not been used before for this purpose.
References
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Normalized cuts and image segmentation
Jianbo Shi,Jitendra Malik +1 more
TL;DR: This work treats image segmentation as a graph partitioning problem and proposes a novel global criterion, the normalized cut, for segmenting the graph, which measures both the total dissimilarity between the different groups as well as the total similarity within the groups.
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In vivo fiber tractography using DT-MRI data
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Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Timothy E.J. Behrens,Heidi Johansen-Berg,Mark W. Woolrich,Mark W. Woolrich,Stephen M. Smith,Claudia A. M. Wheeler-Kingshott,P A Boulby,Gareth J. Barker,E L Sillery,K Sheehan,Olga Ciccarelli,Alan J. Thompson,J. M. Brady,Paul M. Matthews +13 more
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