Source:http://linkedlifedata.com/resource/pubmed/id/14587014
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2003-10-30
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pubmed:abstractText |
Dynamic images of natural objects exhibit significant correlations in k-space and time. Thus, it is feasible to acquire only a reduced amount of data and recover the missing portion afterwards. This leads to an improved temporal resolution, or an improved spatial resolution for a given amount of acquisition. Based on this approach, two methods were developed to significantly improve the performance of dynamic imaging, named k-t BLAST (Broad-use Linear Acquisition Speed-up Technique) and k-t SENSE (SENSitivity Encoding) for use with a single or multiple receiver coils, respectively. Signal correlations were learned from a small set of training data and the missing data were recovered using all available information in a consistent and integral manner. The general theory of k-t BLAST and k-t SENSE is applicable to arbitrary k-space trajectories, time-varying coil sensitivities, and under- and overdetermined reconstruction problems. Examples from ungated cardiac imaging demonstrate a 4-fold acceleration (voxel size 2.42 x 2.52 mm(2), 38.4 fps) with either one or six receiver coils. k-t BLAST and k-t SENSE are applicable to many areas, especially those exhibiting quasiperiodic motion, such as imaging of the heart, the lungs, the abdomen, and the brain under periodic stimulation.
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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 |
Nov
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pubmed:issn |
0740-3194
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pubmed:author | |
pubmed:copyrightInfo |
Copyright 2003 Wiley-Liss, Inc.
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pubmed:issnType |
Print
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pubmed:volume |
50
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1031-42
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading | |
pubmed:year |
2003
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pubmed:articleTitle |
k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations.
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pubmed:affiliation |
Institute for Biomedical Engineering, University of Zurich, and Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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