Multiobjective anatomy-based dose optimization for HDR-brachytherapy with constraint free deterministic algorithms

Milickovic, N; Lahanas, M; Papagiannopoulou, M; Zamboglou, N; Baltas, D

dc.contributor.author	Milickovic, N	en
dc.contributor.author	Lahanas, M	en
dc.contributor.author	Papagiannopoulou, M	en
dc.contributor.author	Zamboglou, N	en
dc.contributor.author	Baltas, D	en
dc.date.accessioned	2014-03-01T01:18:04Z
dc.date.available	2014-03-01T01:18:04Z
dc.date.issued	2002	en
dc.identifier.issn	0031-9155	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14786
dc.subject.classification	Engineering, Biomedical	en
dc.subject.classification	Radiology, Nuclear Medicine & Medical Imaging	en
dc.subject.other	Algorithms	en
dc.subject.other	Biological organs	en
dc.subject.other	Dosimetry	en
dc.subject.other	Medical imaging	en
dc.subject.other	Optimization	en
dc.subject.other	Vectors	en
dc.subject.other	Planning target volume (PTV)	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	algorithm	en
dc.subject.other	anatomy	en
dc.subject.other	article	en
dc.subject.other	brachytherapy	en
dc.subject.other	controlled study	en
dc.subject.other	correlation analysis	en
dc.subject.other	information	en
dc.subject.other	intermethod comparison	en
dc.subject.other	performance	en
dc.subject.other	priority journal	en
dc.subject.other	radiation dose	en
dc.subject.other	treatment planning	en
dc.subject.other	Algorithms	en
dc.subject.other	Brachytherapy	en
dc.subject.other	Brain Neoplasms	en
dc.subject.other	Breast Neoplasms	en
dc.subject.other	Cervix Neoplasms	en
dc.subject.other	Comparative Study	en
dc.subject.other	Computer Simulation	en
dc.subject.other	Dose-Response Relationship, Radiation	en
dc.subject.other	Female	en
dc.subject.other	Human	en
dc.subject.other	Male	en
dc.subject.other	Neoplasms	en
dc.subject.other	Prostatic Neoplasms	en
dc.subject.other	Quality Control	en
dc.subject.other	Radiation Dosage	en
dc.subject.other	Radiotherapy Planning, Computer-Assisted	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Sensitivity and Specificity	en
dc.subject.other	Support, Non-U.S. Gov't	en
dc.title	Multiobjective anatomy-based dose optimization for HDR-brachytherapy with constraint free deterministic algorithms	en
heal.type	journalArticle	en
heal.identifier.primary	10.1088/0031-9155/47/13/306	en
heal.identifier.secondary	http://dx.doi.org/10.1088/0031-9155/47/13/306	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	In high dose rate (HDR) brachytherapy, conventional dose optimization algorithms consider multiple objectives in the form of an aggregate function that transforms the multiobjective problem into a single-objective problem. As a result, there is a loss of information on the available alternative possible solutions. This method assumes that the treatment planner exactly understands the correlation between competing objectives and knows the physical constraints. This knowledge is provided by the Pareto trade-off set obtained by single-objective optimization algorithms with a repeated optimization with different importance vectors. A mapping technique avoids non-feasible solutions with negative dwell weights and allows the use of constraint free gradient-based deterministic algorithms. We compare various such algorithms and methods which could improve their performance. This finally allows us to generate a large number of solutions in a few minutes. We use objectives expressed in terms of dose variances obtained from a few hundred sampling points in the planning target volume (PTV) and in organs at risk (OAR). We compare two- to four-dimensional Pareto fronts obtained with the deterministic algorithms and with a fast-simulated annealing algorithm. For PTV-based objectives, due to the convex objective functions, the obtained solutions are global optimal. If OARs are included, then the solutions found are also global optimal, although local minima may be present as suggested.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	Physics in Medicine and Biology	en
dc.identifier.doi	10.1088/0031-9155/47/13/306	en
dc.identifier.isi	ISI:000177106800006	en
dc.identifier.volume	47	en
dc.identifier.issue	13	en
dc.identifier.spage	2263	en
dc.identifier.epage	2280	en