Source:http://linkedlifedata.com/resource/pubmed/id/20009184
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
2009-12-17
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pubmed:abstractText |
Scattered radiation is a major source of artifacts in flat detector computed tomography (FDCT) due to the increased irradiated volumes. We propose a fast projection-based algorithm for correction of scatter artifacts. The presented algorithm combines a convolution method to determine the spatial distribution of the scatter intensity distribution with an object-size-dependent scaling of the scatter intensity distributions using a priori information generated by Monte Carlo simulations. A projection-based (PBSE) and an image-based (IBSE) strategy for size estimation of the scanned object are presented. Both strategies provide good correction and comparable results; the faster PBSE strategy is recommended. Even with such a fast and simple algorithm that in the PBSE variant does not rely on reconstructed volumes or scatter measurements, it is possible to provide a reasonable scatter correction even for truncated scans. For both simulations and measurements, scatter artifacts were significantly reduced and the algorithm showed stable behavior in the z-direction. For simulated voxelized head, hip and thorax phantoms, a figure of merit Q of 0.82, 0.76 and 0.77 was reached, respectively (Q = 0 for uncorrected, Q = 1 for ideal). For a water phantom with 15 cm diameter, for example, a cupping reduction from 10.8% down to 2.1% was achieved. The performance of the correction method has limitations in the case of measurements using non-ideal detectors, intensity calibration, etc. An iterative approach to overcome most of these limitations was proposed. This approach is based on root finding of a cupping metric and may be useful for other scatter correction methods as well. By this optimization, cupping of the measured water phantom was further reduced down to 0.9%. The algorithm was evaluated on a commercial system including truncated and non-homogeneous clinically relevant objects.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
1361-6560
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:day |
7
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pubmed:volume |
55
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
99-120
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pubmed:meshHeading |
pubmed-meshheading:20009184-Aged, 80 and over,
pubmed-meshheading:20009184-Algorithms,
pubmed-meshheading:20009184-Artifacts,
pubmed-meshheading:20009184-Computer Simulation,
pubmed-meshheading:20009184-Female,
pubmed-meshheading:20009184-Head,
pubmed-meshheading:20009184-Hip,
pubmed-meshheading:20009184-Humans,
pubmed-meshheading:20009184-Models, Theoretical,
pubmed-meshheading:20009184-Monte Carlo Method,
pubmed-meshheading:20009184-Phantoms, Imaging,
pubmed-meshheading:20009184-Radiography, Thoracic,
pubmed-meshheading:20009184-Scattering, Radiation,
pubmed-meshheading:20009184-Time Factors,
pubmed-meshheading:20009184-Tomography, X-Ray Computed,
pubmed-meshheading:20009184-Water
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pubmed:year |
2010
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pubmed:articleTitle |
A fast and pragmatic approach for scatter correction in flat-detector CT using elliptic modeling and iterative optimization.
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pubmed:affiliation |
Institute of Medical Physics, University of Erlangen-Nürnberg, Germany. michael.meyer@imp.uni-erlangen.de
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Evaluation Studies
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