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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1999-3-11
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pubmed:abstractText |
The effects of the k-space data undersampling and the discontinuities associated with the keyhole approach in functional magnetic resonance imaging (fMRI) have been addressed. Undersampling of high k-space data increases the high spatial-frequency noise by a factor of square root m, where m is the number of images sharing the high k-space data. However, the effects of the noise can be effectively removed using clustered-pixel statistical analysis. The amplitude and phase discontinuities may result in an increase in the low spatial-frequency noise level, which has no impact on specificity and only a minimal impact on sensitivity. Although dramatically reducing acquisition time and preserving the spatial resolution of functional magnetic resonance imaging, the keyhole technique may have a limited capability in detecting highly focal activations.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
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pubmed:month |
Jan
|
pubmed:issn |
0730-725X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
17
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
109-19
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading | |
pubmed:year |
1999
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pubmed:articleTitle |
The effects of k-space data undersampling and discontinuities in keyhole functional MRI.
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pubmed:affiliation |
Research Imaging Center, The University of Texas Health Science Center at San Antonio, 78284-6240, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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