Source:http://linkedlifedata.com/resource/pubmed/id/11241818
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2001-3-12
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pubmed:abstractText |
In this paper, a novel multi-scale method for coil sensitivity profile correction is presented based on wavelet transform. A magnetic resonance (MR) image can be decomposed into two spaces by the wavelet transform: approximate space and residual space. The approximate templates in approximate space can be thought of as multi-scale sensitivity profiles of the surface coil for coil correction. When we choose a suitable filter for decomposition, one of the sensitivity profiles should be optimal among the multi-scale sensitivity profiles. The optimal sensitivity profile can be chosen automatically by an analysis of the contents of the two spaces. The multi-scale method does not rely on any data other than the image generated by the MR scanner. The experiment showed promising results based on one-dimensional simulation and images of phantom and human images.
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pubmed:grant | |
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 |
Mar
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pubmed:issn |
1053-1807
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
13
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
428-36
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:11241818-Artifacts,
pubmed-meshheading:11241818-Brain,
pubmed-meshheading:11241818-Carotid Arteries,
pubmed-meshheading:11241818-Equipment Design,
pubmed-meshheading:11241818-Humans,
pubmed-meshheading:11241818-Image Enhancement,
pubmed-meshheading:11241818-Image Processing, Computer-Assisted,
pubmed-meshheading:11241818-Magnetic Resonance Imaging,
pubmed-meshheading:11241818-Mathematical Computing,
pubmed-meshheading:11241818-Models, Theoretical,
pubmed-meshheading:11241818-Phantoms, Imaging
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pubmed:year |
2001
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pubmed:articleTitle |
A multi-scale method for automatic correction of intensity non-uniformity in MR images.
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pubmed:affiliation |
Department of Radiology, University of Washington, Seattle, Washington 98195-7115, USA. chaohan@u.washington.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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