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rdf:type |
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lifeskim:mentions |
umls-concept:C0026597,
umls-concept:C0522510,
umls-concept:C0680844,
umls-concept:C0681916,
umls-concept:C0750572,
umls-concept:C0806140,
umls-concept:C0871935,
umls-concept:C0917874,
umls-concept:C1511726,
umls-concept:C1519941,
umls-concept:C1704353
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pubmed:issue |
3
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pubmed:dateCreated |
2009-3-9
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pubmed:abstractText |
Motion tracking based on spatial-temporal radio-frequency signals from the pixel representation of magnetic resonance (MR) imaging of a non-stationary fluid is able to provide two dimensional vector field maps. This supports the underlying fundamentals of magnetic resonance fluid motion estimation and generates a new methodology for flow measurement that is based on registration of nuclear signals from moving hydrogen nuclei in fluid. However, there is a need to validate the computational aspect of the approach by using velocity flow field data that we will assume as the true reference information or ground truth.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-10754076,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-11296580,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-11376278,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-11559688,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-12006694,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-12648799,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-12655592,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-12667402,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-15646880,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-2649924,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19270756-7832111
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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:issn |
1932-6203
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
4
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
e4747
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pubmed:dateRevised |
2010-9-23
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
Theory and validation of magnetic resonance fluid motion estimation using intensity flow data.
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pubmed:affiliation |
Centre for Biomedical Engineering and School of Electrical & Electronic Engineering, University of Adelaide, Adelaide, South Australia, Australia. kelvin.wong@adelaide.edu.au
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pubmed:publicationType |
Journal Article
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