rdf:type |
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lifeskim:mentions |
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pubmed:issue |
8
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pubmed:dateCreated |
2010-9-30
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pubmed:abstractText |
The purpose of this work is to design a neuronal fiber tracking algorithm, which will be more suitable for reconstruction of fibers associated with functionally important regions in the human brain. The functional activations in the brain normally occur in the gray matter regions. Hence the fibers bordering these regions are weakly myelinated, resulting in poor performance of conventional tractography methods to trace the fiber links between them. A lower fractional anisotropy in this region makes it even difficult to track the fibers in the presence of noise. In this work, the authors focused on a stochastic approach to reconstruct these fiber pathways based on a Bayesian regularization framework.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-10202532,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-10398948,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-10468624,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-11099443,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-11746585,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-12044998,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/20879588-19684850
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Aug
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pubmed:issn |
0094-2405
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pubmed:author |
|
pubmed:issnType |
Print
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pubmed:volume |
37
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
4274-87
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pubmed:dateRevised |
2011-8-3
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pubmed:meshHeading |
pubmed-meshheading:20879588-Algorithms,
pubmed-meshheading:20879588-Bayes Theorem,
pubmed-meshheading:20879588-Brain,
pubmed-meshheading:20879588-Computer Simulation,
pubmed-meshheading:20879588-Diffusion Tensor Imaging,
pubmed-meshheading:20879588-Humans,
pubmed-meshheading:20879588-Image Enhancement,
pubmed-meshheading:20879588-Image Interpretation, Computer-Assisted,
pubmed-meshheading:20879588-Imaging, Three-Dimensional,
pubmed-meshheading:20879588-Language,
pubmed-meshheading:20879588-Models, Neurological,
pubmed-meshheading:20879588-Models, Statistical,
pubmed-meshheading:20879588-Nerve Net,
pubmed-meshheading:20879588-Neural Pathways,
pubmed-meshheading:20879588-Pattern Recognition, Automated,
pubmed-meshheading:20879588-Reproducibility of Results,
pubmed-meshheading:20879588-Sample Size,
pubmed-meshheading:20879588-Sensitivity and Specificity
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pubmed:year |
2010
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pubmed:articleTitle |
An improved Bayesian tensor regularization and sampling algorithm to track neuronal fiber pathways in the language circuit.
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pubmed:affiliation |
Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232, USA. arabinda.mishra@vanderbilt.edu
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pubmed:publicationType |
Journal Article
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