Source:http://linkedlifedata.com/resource/pubmed/id/15843735
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
9
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pubmed:dateCreated |
2005-4-21
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pubmed:abstractText |
The objective of radiotherapy planning is to find a compromise between the contradictive goals of delivering a sufficiently high dose to the target volume while widely sparing critical structures. The search for such a compromise requires the computation of several plans, which mathematically means solving several optimization problems. In the case of intensity modulated radiotherapy (IMRT) these problems are large-scale, hence the accumulated computational expense is very high. The adaptive clustering method presented in this paper overcomes this difficulty. The main idea is to use a preprocessed hierarchy of aggregated dose-volume information as a basis for individually adapted approximations of the original optimization problems. This leads to a decisively reduced computational expense: numerical experiments on several sets of real clinical data typically show computation times decreased by a factor of about 10. In contrast to earlier work in this field, this reduction in computational complexity will not lead to a loss in accuracy: the adaptive clustering method produces the optimum of the original optimization problem.
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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 |
May
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pubmed:issn |
0031-9155
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:day |
7
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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 |
2033-53
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:15843735-Algorithms,
pubmed-meshheading:15843735-Body Burden,
pubmed-meshheading:15843735-Computer Simulation,
pubmed-meshheading:15843735-Computing Methodologies,
pubmed-meshheading:15843735-Equipment Failure Analysis,
pubmed-meshheading:15843735-Humans,
pubmed-meshheading:15843735-Male,
pubmed-meshheading:15843735-Models, Biological,
pubmed-meshheading:15843735-Numerical Analysis, Computer-Assisted,
pubmed-meshheading:15843735-Prostatic Neoplasms,
pubmed-meshheading:15843735-Radiometry,
pubmed-meshheading:15843735-Radiotherapy, Conformal,
pubmed-meshheading:15843735-Radiotherapy Dosage,
pubmed-meshheading:15843735-Radiotherapy Planning, Computer-Assisted,
pubmed-meshheading:15843735-Relative Biological Effectiveness,
pubmed-meshheading:15843735-Reproducibility of Results,
pubmed-meshheading:15843735-Sensitivity and Specificity
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pubmed:year |
2005
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pubmed:articleTitle |
IMRT planning on adaptive volume structures--a decisive reduction in computational complexity.
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pubmed:affiliation |
Department of Optimization, Fraunhofer Institut for Industrial Mathematics, Gottlieb-Daimler-Strasse 49, 67663 Kaiserslautern, Germany. scherrer@itwm.fhg.de
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Evaluation Studies,
Validation Studies
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