Source:http://linkedlifedata.com/resource/pubmed/id/17145409
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
10
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pubmed:dateCreated |
2006-12-5
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pubmed:abstractText |
The purpose of this study was to determine a suitable registration algorithm for diffusion tensor imaging (DTI) using conventional preprocessing tools [statistical parametric mapping (SPM) and automated image registration (AIR)] and to investigate how anisotropic indices for clinical assessments are affected by these distortion corrections.
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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 |
Dec
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pubmed:issn |
0730-725X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
24
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1369-76
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pubmed:meshHeading |
pubmed-meshheading:17145409-Adult,
pubmed-meshheading:17145409-Algorithms,
pubmed-meshheading:17145409-Anisotropy,
pubmed-meshheading:17145409-Brain,
pubmed-meshheading:17145409-Diffusion Magnetic Resonance Imaging,
pubmed-meshheading:17145409-Humans,
pubmed-meshheading:17145409-Image Enhancement,
pubmed-meshheading:17145409-Image Processing, Computer-Assisted,
pubmed-meshheading:17145409-Nonlinear Dynamics
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pubmed:year |
2006
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pubmed:articleTitle |
How does distortion correction correlate with anisotropic indices? A diffusion tensor imaging study.
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pubmed:affiliation |
Department of Biomedical Engineering, Hanyang University, and Department of Radiology, Kangbuk Samsung Hospital, Seoul 133-605, South Korea.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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