Literature DB >> 1518484

Optimization of brachytherapy dose distributions by simulated annealing.

R S Sloboda1.   

Abstract

An algorithm based on the method of simulated annealing is presented for optimizing brachy-therapy dose distributions. The algorithm accommodates either static configurations of multiple sources or single stepping sources, hence in principle can be used to optimize both low- and high-dose rate treatments delivered with remote afterloading equipment. Required inputs include the specification of target dose rates and dose rate limits, expressed in absolute or relative terms, at operator selected points near the treatment site. The influence of the dose rate limits can be adjusted continuously through the use of one or more penalty factors. The algorithm generates a set of integer weights, one for each available source position, which are interpreted in terms of configuration occupancy numbers for static source arrangements and relative dwell times for stepping sources. Application is made to several variations of a hypothetical low-dose rate vaginal vault planning problem involving one rectal and six applicator calculation points. The algorithm's performance for different source strengths, annealing schedules, target dose rates, dose rate limits, and values of a single penalty factor lambda was examined. With a simple annealing schedule and value of lambda = 25, the algorithm found solutions of high quality for all problem variants. The CPU time required for optimization on a Vax 11/750 computer ranged from 2 min for a single configuration to 25 min for a solution consisting of four configurations. These results support the use of simulated annealing for clinical planning of low dose rate vaginal treatments, and encourage investigation of other applications in brachytherapy.

Mesh:

Year:  1992        PMID: 1518484     DOI: 10.1118/1.596783

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  A heterogeneous optimization algorithm for reacted singlet oxygen for interstitial PDT.

Authors:  Timothy C Zhu; Martin D Altschuler; Yida Hu; Ken Wang; Jarod C Finlay; Andreea Dimofte; Keith Cengel; Stephen M Hahn
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2010-01

2.  Optimization of light sources for prostate photodynamic therapy.

Authors:  Martin D Altschuler; Timothy C Zhu; Jun Li; Stephen M Hahn
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2005-04-22

3.  A heterogeneous algorithm for PDT dose optimization for prostate.

Authors:  Martin D Altschuler; Timothy C Zhu; Yida Hu; Jarod C Finlay; Andreea Dimofte; Ken Wang; Jun Li; Keith Cengel; S B Malkowicz; Stephen M Hahn
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2009-02-18

4.  Optimized interstitial PDT prostate treatment planning with the Cimmino feasibility algorithm.

Authors:  Martin D Altschuler; Timothy C Zhu; Jun Li; Stephen M Hahn
Journal:  Med Phys       Date:  2005-12       Impact factor: 4.071

5.  Evaluation of hybrid inverse planning and optimization (HIPO) algorithm for optimization in real-time, high-dose-rate (HDR) brachytherapy for prostate.

Authors:  Shyam Pokharel; Suresh Rana; Joseph Blikenstaff; Amir Sadeghi; Bradley Prestidge
Journal:  J Appl Clin Med Phys       Date:  2013-07-08       Impact factor: 2.102

6.  Post-implant analysis in permanent breast seed implant: automated plan reconstruction using simulated annealing.

Authors:  Elizabeth Watt; Matthew Skarsgard; Michael Roumeliotis; Siraj Husain; Tyler Meyer
Journal:  J Contemp Brachytherapy       Date:  2019-02-28

7.  Hybrid optimization based on non-coplanar needles for brachytherapy dose planning.

Authors:  Xiaodong Ma; Zhiyong Yang; Shan Jiang; Guobin Zhang; Bin Huo; Shude Chai
Journal:  J Contemp Brachytherapy       Date:  2019-06-28

8.  Dosimetric comparison of inverse optimisation methods versus forward optimisation in HDR brachytherapy of breast, cervical and prostate cancer.

Authors:  Georgina Fröhlich; Gyula Geszti; Júlia Vízkeleti; Péter Ágoston; Csaba Polgár; Tibor Major
Journal:  Strahlenther Onkol       Date:  2019-09-03       Impact factor: 3.621

  8 in total

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