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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
1
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pubmed:dateCreated |
1992-3-5
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pubmed:abstractText |
We present a statistical analysis of the maximum intensity projection (MIP) algorithm, which is commonly used for MR angiography (MRA). The analysis explains why MIP projection images display as much as a twofold increase in signal- and contrast-to-noise ratios over those of the source image set. This behavior is demonstrated with simulations and in phantom and MRA image sets.
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pubmed:grant |
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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:month |
Jan
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pubmed:issn |
0740-3194
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
23
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
130-7
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:1734175-Algorithms,
pubmed-meshheading:1734175-Angiography,
pubmed-meshheading:1734175-Blood Vessels,
pubmed-meshheading:1734175-Carotid Arteries,
pubmed-meshheading:1734175-Computer Simulation,
pubmed-meshheading:1734175-Humans,
pubmed-meshheading:1734175-Image Enhancement,
pubmed-meshheading:1734175-Magnetic Resonance Imaging,
pubmed-meshheading:1734175-Models, Structural,
pubmed-meshheading:1734175-Models, Theoretical,
pubmed-meshheading:1734175-Signal Processing, Computer-Assisted
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pubmed:year |
1992
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pubmed:articleTitle |
Contrast-to-noise ratios in maximum intensity projection images.
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pubmed:affiliation |
Department of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota 55905.
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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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