A surrogate-based metaheuristic global search method for beam angle selection in radiation treatment planning.

A surrogate-based metaheuristic global search method for beam angle selection in radiation treatment planning.
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DOI:
10.1088/0031-9155/58/6/1933
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发表时间:
2013-03-21
影响因子:
3.5
通讯作者:
Meyer RR
Meyer RR
中科院分区:
工程技术2区
文献类型:
--
作者:
Zhang HH;Gao S;Chen W;Shi L;D'Souza WD;Meyer RR

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An important element of radiation treatment planning for cancer therapy is the selection of beam angles (out of all possible coplanar and non-coplanar angles in relation to the patient) in order to maximize the delivery of radiation to the tumor site and minimize radiation damage to nearby organs-at-risk. This category of combinatorial optimization problem is particularly difficult because direct evaluation of the quality of treatment corresponding to any proposed selection of beams requires the solution of a large-scale dose optimization problem involving many thousands of variables that represent doses delivered to volume elements (voxels) in the patient. However, if the quality of angle sets can be accurately estimated without expensive computation, a large number of angle sets can be considered, increasing the likelihood of identifying a very high quality set. Using a computationally efficient surrogate beam set evaluation procedure based on single-beam data extracted from plans employing equally-spaced beams (eplans), we have developed a global search metaheuristic process based on the Nested Partitions framework for this combinatorial optimization problem. The surrogate scoring mechanism allows us to assess thousands of beam set samples within a clinically acceptable time frame. Tests on difficult clinical cases demonstrate that the beam sets obtained via our method are superior quality.
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