Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2005-9-13
pubmed:abstractText
A novel approach to noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI). This technique is based on successive anisotropic diffusion simulations over the human brain, which are utilized to construct three dimensional diffusion fronts. The fiber pathways are determined by evaluating the distance and orientation from the fronts to their corresponding diffusion seeds. Synthetic and real DT-MRI data are employed to demonstrate the tracking scheme. It is shown that the synthetic tracts are accurately replicated, and several major white matter fiber pathways can be reproduced noninvasively, with the tract branching being allowed. Since simulating the diffusion process, which is truly a physical phenomenon reflecting the underlying architecture of cerebral tissues, makes full use of the diffusion tensor data, including both the magnitude and orientation information, the proposed approach is expected to enhance robustness and reliability in white matter fiber reconstruction.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0278-0062
pubmed:author
pubmed:issnType
Print
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1127-37
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:16156351-Algorithms, pubmed-meshheading:16156351-Anisotropy, pubmed-meshheading:16156351-Artificial Intelligence, pubmed-meshheading:16156351-Brain, pubmed-meshheading:16156351-Computer Simulation, pubmed-meshheading:16156351-Diffusion Magnetic Resonance Imaging, pubmed-meshheading:16156351-Humans, pubmed-meshheading:16156351-Image Enhancement, pubmed-meshheading:16156351-Image Interpretation, Computer-Assisted, pubmed-meshheading:16156351-Imaging, Three-Dimensional, pubmed-meshheading:16156351-Models, Neurological, pubmed-meshheading:16156351-Nerve Fibers, Myelinated, pubmed-meshheading:16156351-Neural Pathways, pubmed-meshheading:16156351-Pattern Recognition, Automated, pubmed-meshheading:16156351-Reproducibility of Results, pubmed-meshheading:16156351-Sensitivity and Specificity
pubmed:year
2005
pubmed:articleTitle
White matter fiber tractography via anisotropic diffusion simulation in the human brain.
pubmed:affiliation
Department of Computer Science, University of Kentucky, Lexington, KY 40506-0046, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't