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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
1976-2-2
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pubmed:abstractText |
Two correction functions are derived for one- and two-dimensional convolution methods for reconstructing a section image from multiple projections. The functions are optimized to yield a maximum 'signal-to-noise power ratio' for a given RMS resolution width, where 'signal power' is the integrated squared line spread function (signal power regarding one-dimensional position information per count) and 'noise power' is the variance of the image density at the centre of a locally uniform source. The point spread function of the reconstructed image is Gaussian, and the standard deivation of noise associated with a locally uniform image is found to be proportional to D-3/2, where D is the RMS resolution width. The autocovariance function for uniform noise is also given.
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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 |
Sep
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pubmed:issn |
0031-9155
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
20
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
789-98
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading | |
pubmed:year |
1975
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pubmed:articleTitle |
Correction functions for optimizing the reconstructed image in transverse section scan.
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pubmed:publicationType |
Journal Article
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