Source:http://linkedlifedata.com/resource/pubmed/id/18412131
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
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pubmed:dateCreated |
2009-3-16
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pubmed:abstractText |
Morphometric studies of medical images often include a nonrigid registration step from a subject to a common reference. The presence of white matter multiple sclerosis lesions will distort and bias the output of the registration. In this article, we present a method to remove this bias by filling such lesions to make the brain look like a healthy brain before the registration. We finally propose a dedicated method to fill the lesions and present numerical results showing that our method outperforms current state of the art method.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
1097-0193
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pubmed:author | |
pubmed:copyrightInfo |
2008 Wiley-Liss, Inc.
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pubmed:issnType |
Electronic
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pubmed:volume |
30
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1060-7
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pubmed:meshHeading |
pubmed-meshheading:18412131-Algorithms,
pubmed-meshheading:18412131-Brain,
pubmed-meshheading:18412131-Brain Mapping,
pubmed-meshheading:18412131-Computer Simulation,
pubmed-meshheading:18412131-Diagnostic Imaging,
pubmed-meshheading:18412131-Humans,
pubmed-meshheading:18412131-Image Enhancement,
pubmed-meshheading:18412131-Imaging, Three-Dimensional,
pubmed-meshheading:18412131-Multiple Sclerosis,
pubmed-meshheading:18412131-Registries,
pubmed-meshheading:18412131-Statistics, Nonparametric
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pubmed:year |
2009
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pubmed:articleTitle |
Nonrigid registration of multiple sclerosis brain images using lesion inpainting for morphometry or lesion mapping.
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pubmed:affiliation |
Department of Neurology, University of California, San Francisco, 94107, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Technical Report
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