Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2005-4-21
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0031-9155
pubmed:author
pubmed:issnType
Print
pubmed:day
7
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2033-53
pubmed:dateRevised
2006-11-15
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
pubmed:year
2005
pubmed:articleTitle
IMRT planning on adaptive volume structures--a decisive reduction in computational complexity.
pubmed:affiliation
Department of Optimization, Fraunhofer Institut for Industrial Mathematics, Gottlieb-Daimler-Strasse 49, 67663 Kaiserslautern, Germany. scherrer@itwm.fhg.de
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Evaluation Studies, Validation Studies