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/Subject (In this paper, we compare a representative selection of current state-of-the-art algorithms in diffusion-weighted magnetic resonance imaging \(dwMRI\) tractography, and propose a novel way to quantitatively define the connectivity between brain regions. As criterion for the comparison, we quantify the connectivity computed with the different methods. We provide initial results using diffusion tensor, spherical deconvolution, ball-and-stick model, and persistent angular structure \(PAS\) along with deterministic and probabilistic tractography algorithms on a human DWI dataset. The connectivity is presented for a representative selection of regions in the brain in matrices and connectograms.Our results show that fiber crossing models are able to reveal connections between more brain areas than the simple tensor model. Probabilistic approaches show in average more connected regions but lower connectivity values than deterministic methods.)
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In this paper, we compare a representative selection of current state-of-the-art algorithms in diffusion-weighted magnetic resonance imaging (dwMRI) tractography, and propose a novel way to quantitatively define the connectivity between brain regions. As criterion for the comparison, we quantify the connectivity computed with the different methods. We provide initial results using diffusion tensor, spherical deconvolution, ball-and-stick model, and persistent angular structure (PAS) along with deterministic and probabilistic tractography algorithms on a human DWI dataset. The connectivity is presented for a representative selection of regions in the brain in matrices and connectograms.Our results show that fiber crossing models are able to reveal connections between more brain areas than the simple tensor model. Probabilistic approaches show in average more connected regions but lower connectivity values than deterministic methods.
Ting-Shuo Yo
Alfred Anwander
Maxime Descoteaux
Pierre Fillard
Cyril Poupon
Thomas Knösche
bibtex/bibsource/DBLP, http://dblp.uni-trier.de
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10.1007/978-3-642-04268-3_109
Quantifying Brain Connectivity: A Comparative Tractography Study
2009
application/pdf
Inproceedings
Ting-Shuo Yo
Alfred Anwander
Maxime Descoteaux
Pierre Fillard
Cyril Poupon
Thomas Knösche
DBLP, http://dblp.uni-trier.de
Yo_MICCAI_preprint_2009
MICCAI
DBLP:conf/miccai/2009-1
10.1007/978-3-642-04268-3_109
http://dx.doi.org/10.1007/978-3-642-04268-3_109
Yo_MICCAI_preprint_2009.pdf:Yo_MICCAI_preprint_2009.pdf:PDF
886-893
Quantifying Brain Connectivity: A Comparative Tractography Study
http://www.springerlink.com/content/b666502841168n23/
2009
Inproceedings
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