Linked Life Data

11231173

Source:http://linkedlifedata.com/resource/pubmed/id/11231173

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2001-3-20
pubmed:abstractText
This paper describes a method to infer the connectivity induced by white matter fibers in the living human brain. This method stems from magnetic resonance tensor imaging (DTI), a technique which gives access to fiber orientations. Given typical DTI spatial resolution, connectivity is addressed at the level of fascicles made up by a bunch of parallel fibers. We propose first an algorithm dedicated to fascicle tracking in a direction map inferred from diffusion data. This algorithm takes into account fan-shaped fascicle forks usual in actual white matter organization. Then, we propose a method of inferring a regularized direction map from diffusion data in order to improve the robustness of the tracking. The regularization stems from an analogy between white matter organization and spaghetti plates. Finally, we propose a study of the tracking behavior according to the weight given to the regularization and some examples of the tracking results with in vivo human brain data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1361-8415
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-15
pubmed:dateRevised
2005-6-7
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Towards inference of human brain connectivity from MR diffusion tensor data.
pubmed:affiliation
Service Hospitalier Frédéric Joliot, CEA, 4 Place du Général Leclerc, 91401 Cedex, Orsay, France. cpoupon@shfj.cea.fr
pubmed:publicationType
Journal Article