Noncoplanar beam angle optimization in IMRT treatment planning using pattern search methods

Mini EURO Conference on Improving Healthcare: new challenges, new approaches

物理学;医药卫生

Rocha, Humberto^1 ; Dias, Joana M.^1,2 ; Ferreira, Brígida C.^3 ; Lopes, Maria C.^4

INESC-Coimbra, Coimbra, Portugal^1

Faculdade de Economia, Universidade de Coimbra, Coimbra, Portugal^2

Escola Superior de Tecnologia de Saú de Do Porto, Porto, Portugal^3

Serviço de Física Médica, IPOC-FG, EPE, Coimbra, Portugal^4

关键词: Beam angle optimization;    Clinical practices;    Multileaf collimators;    Optimized selection;    Pattern search method;    Radiation incidence;    Radiation therapy treatment;    Treatment planning;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/616/1/012014/pdf
DOI  :  10.1088/1742-6596/616/1/012014

学科分类：卫生学

来源: IOP

【 摘 要 】

Radiation therapy is used to treat localized cancers, aiming to deliver a dose of radiation to the tumor volume to sterilize all cancer cells while minimizing the collateral effects on the surrounding healthy organs and tissues. The planning of radiation therapy treatments requires decisions regarding the angles used for radiation incidence, the fluence intensities and, if multileaf collimators are used, the definition of the leaf sequencing. The beam angle optimization problem consists in finding the optimal number and incidence directions of the irradiation beams. The selection of appropriate radiation incidence directions is important for the quality of the treatment. However, the possibility of improving the quality of treatment plans by an optimized selection of the beam incidences is seldom done in the clinical practice. Adding the possibility for noncoplanar incidences is even more rarely used. Nevertheless, the advantage of noncoplanar beams is well known. The optimization of noncoplanar beam incidences may further allow the reduction of the number of beams needed to reach a clinically acceptable plan. In this paper we present the benefits of using pattern search methods for the optimization of the highly non-convex noncoplanar beam angle optimization problem.