Literature DB >> 14529207

Non-coplanar beam direction optimization for intensity-modulated radiotherapy.

G Meedt1, M Alber, F Nüsslin.   

Abstract

An algorithm for the optimization of the direction of intensity-modulated beams is presented. Although the global optimum dose distribution cannot be predicted, usually a large number of equivalent beam configurations exists. This degeneracy facilitates beam direction optimization (BDO) through a number of possible approximations and because the target set of good beam configurations is very large. Usually, the target volume is accessible through a finite number of paths of little resistance, which are defined by the properties of the objective function and the global optimum dose distribution. Since these paths can be occupied by a finite number of beams, it is reasonable to assume that a minimum number of beams for a configuration that is degenerate to the global optimum exists. Efficiency of the BDO will be characterized by detecting this degeneracy threshold. Beam configurations are altered by adding and deleting beams. A fast exhaustive (up to 3500 non-coplanar orientations) search finds beam directions that improve a configuration. Redundant beams of a configuration can be identified by a fast criterion based on second-order derivative information of the objective function. This offers a fast means of iteratively substituting redundant beams from a configuration. Inferior stationary states can be evaded by adding more beams than the desired number to the current configuration, followed by the subsequent cancellation of superfluous beams. The significance of BDO is examined in a coplanar and a non-coplanar test case. The existence of a threshold number for the minimum configuration and its dependence on the complexity of the problem are shown. BDO outperforms manual configurations and equispaced coplanar beam arrangements in both example cases.

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Year:  2003        PMID: 14529207     DOI: 10.1088/0031-9155/48/18/304

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


  7 in total

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Review 2.  The radiation techniques of tomotherapy & intensity-modulated radiation therapy applied to lung cancer.

Authors:  Zhengfei Zhu; Xiaolong Fu
Journal:  Transl Lung Cancer Res       Date:  2015-06

3.  Many-isocenter optimization for robotic radiotherapy.

Authors:  Qihui Lyu; Ryan Neph; Victoria Y Yu; Dan Ruan; Salime Boucher; Ke Sheng
Journal:  Phys Med Biol       Date:  2020-02-10       Impact factor: 3.609

4.  Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy.

Authors:  Masoud Zarepisheh; Linda Hong; Ying Zhou; Qijie Huang; Jie Yang; Gourav Jhanwar; Hai D Pham; Pinar Dursun; Pengpeng Zhang; Margie A Hunt; Gig S Mageras; Jonathan T Yang; Yoshiya Yamada; Joseph O Deasy
Journal:  INFORMS J Appl Anal       Date:  2022-02-01

5.  On the visualization of universal degeneracy in the IMRT problem.

Authors:  Markus L Alber; Gustav Meedt
Journal:  Radiat Oncol       Date:  2006-12-18       Impact factor: 3.481

6.  A collision prediction framework for noncoplanar radiotherapy planning and delivery.

Authors:  Naveed Islam; Josh Kilian-Meneghin; Steven deBoer; Matthew Podgorsak
Journal:  J Appl Clin Med Phys       Date:  2020-06-19       Impact factor: 2.102

7.  Characteristics of non-coplanar IMRT in the presence of target-embedded organs at risk.

Authors:  Klaus Bratengeier; Kostyantyn Holubyev
Journal:  Radiat Oncol       Date:  2015-10-12       Impact factor: 3.481

  7 in total

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