Document Detail


Robust clustering of massive tractography datasets.
MedLine Citation:
PMID:  20965259     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
This paper presents a clustering method that detects the fiber bundles embedded in any MR-diffusion based tractography dataset. Our method can be seen as a compressing operation, capturing the most meaningful information enclosed in the fiber dataset. For the sake of efficiency, part of the analysis is based on clustering the white matter (WM) voxels rather than the fibers. The resulting regions of interest are used to define subset of fibers that are subdivided further into consistent bundles using a clustering of the fiber extremities. The dataset is reduced from more than one million fiber tracts to about two thousand fiber bundles. Validations are provided using simulated data and a physical phantom. We see our approach as a crucial preprocessing step before further analysis of huge fiber datasets. An important application will be the inference of detailed models of the subdivisions of white matter pathways and the mapping of the main U-fiber bundles.
Authors:
P Guevara; C Poupon; D Rivière; Y Cointepas; M Descoteaux; B Thirion; J-F Mangin
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Publication Detail:
Type:  Journal Article     Date:  2010-10-18
Journal Detail:
Title:  NeuroImage     Volume:  54     ISSN:  1095-9572     ISO Abbreviation:  Neuroimage     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2010-12-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1975-93     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Inc. All rights reserved.
Affiliation:
Neurospin, CEA, Gif-sur-Yvette, France; Institut Fédératif de Recherche 49, Gif-sur-Yvette, France; University of Concepción, Concepción, Chile.
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