Literature DB >> 14579860

Algorithm and performance of a clinical IMRT beam-angle optimization system.

David Djajaputra1, Qiuwen Wu, Yan Wu, Radhe Mohan.   

Abstract

This paper describes the algorithm and examines the performance of an intensity-modulated radiation therapy (IMRT) beam-angle optimization (BAO) system. In this algorithm successive sets of beam angles are selected from a set of predefined directions using a fast simulated annealing (FSA) algorithm. An IMRT beam-profile optimization is performed on each generated set of beams. The IMRT optimization is accelerated by using a fast dose calculation method that utilizes a precomputed dose kernel. A compact kernel is constructed for each of the predefined beams prior to starting the FSA algorithm. The IMRT optimizations during the BAO are then performed using these kernels in a fast dose calculation engine. This technique allows the IMRT optimization to be performed more than two orders of magnitude faster than a similar optimization that uses a convolution dose calculation engine. Any type of optimization criterion present in the IMRT system can be used in this BAO system. An objective function based on clinically-relevant dose-volume (DV) criteria is used in this study. This facilitates the comparison between a BAO plan and the corresponding plan produced by a planner since the latter is usually optimized using a DV-based objective function. A simple prostate case and a complex head-and-neck (HN) case were used to evaluate the usefulness and performance of this BAO method. For the prostate case we compared the BAO results for three, five and seven coplanar beams with those of the same number of equispaced coplanar beams. For the HN case we compare the BAO results for seven and nine non-coplanar beams with that for nine equispaced coplanar beams. In each case the BAO algorithm was allowed to search up to 1000 different sets of beams. The BAO for the prostate cases were finished in about 1-2 h on a moderate 400 MHz workstation while that for the head-and-neck cases were completed in 13-17 h on a 750 MHz machine. No a priori beam-selection criteria have been used in achieving this performance. In both the prostate and the head-and-neck cases, BAO is shown to provide improvements in plan quality over that of the equispaced beams. The use of DV-based objective function also allows us to study the dependence of the improvement of plan quality offered by BAO on the DV criteria used in the optimization. We found that BAO is especially useful for cases that require strong DV criteria. The main advantages of this BAO system are its speed and its direct link to a clinical IMRT system.

Mesh:

Year:  2003        PMID: 14579860     DOI: 10.1088/0031-9155/48/19/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  16 in total

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Authors:  Delal Dink; Mark P Langer; Ronald L Rardin; Joseph F Pekny; Gintaras V Reklaitis; Behlul Saka
Journal:  Health Care Manag Sci       Date:  2012-01-10

2.  Inverse planning for IMRT with nonuniform beam profiles using total-variation regularization (TVR).

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Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

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4.  Uncertainty incorporated beam angle optimization for IMPT treatment planning.

Authors:  Wenhua Cao; Gino J Lim; Andrew Lee; Yupeng Li; Wei Liu; X Ronald Zhu; Xiaodong Zhang
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

5.  A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning.

Authors:  Yang Sheng; Taoran Li; Yaorong Ge; Hui Lin; Wentao Wang; Lulin Yuan; Q Jackie Wu
Journal:  Quant Imaging Med Surg       Date:  2021-12

6.  A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.

Authors:  Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Steve Jiang; Dan Nguyen
Journal:  Mach Learn Sci Technol       Date:  2021-05-13

7.  Integrated beam orientation and scanning-spot optimization in intensity-modulated proton therapy for brain and unilateral head and neck tumors.

Authors:  Wenbo Gu; Daniel O'Connor; Dan Nguyen; Victoria Y Yu; Dan Ruan; Lei Dong; Ke Sheng
Journal:  Med Phys       Date:  2018-03-01       Impact factor: 4.071

8.  Optimization of beam angles for intensity modulated radiation therapy treatment planning using genetic algorithm on a distributed computing platform.

Authors:  Daryl P Nazareth; Stephen Brunner; Matthew D Jones; Harish K Malhotra; Mohammad Bakhtiari
Journal:  J Med Phys       Date:  2009-07

9.  A knowledge-based approach to automated planning for hepatocellular carcinoma.

Authors:  Yujie Zhang; Tingting Li; Han Xiao; Weixing Ji; Ming Guo; Zhaochong Zeng; Jianying Zhang
Journal:  J Appl Clin Med Phys       Date:  2017-11-15       Impact factor: 2.102

10.  Automated population-based planning for whole brain radiation therapy.

Authors:  Eduard Schreibmann; Tim Fox; Walter Curran; Hui-Kuo Shu; Ian Crocker
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

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