Simulated annealing applied to IMRT beam angle optimization: A computational study

• Autor(a) principal: Dias, Joana
• Data de Publicação: 2015
• Outros Autores: Rocha, Humberto, Ferreira, Brígida, Lopes, Maria do Carmo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: https://hdl.handle.net/10316/44632; https://doi.org/10.1016/j.ejmp.2015.03.005
• topic: Algorithms; Head and Neck Neoplasms; Humans; Radiotherapy Planning, Computer-Assisted; Radiotherapy, Intensity-Modulated; Retrospective Studies

Electing irradiation directions to use in IMRT treatments is one of the first decisions to make in treatment planning. Beam angle optimization (BAO) is a difficult problem to tackle from the mathematical optimization point of view. It is highly non-convex, and optimization approaches based on gradient descent methods will probably get trapped in one of the many local minima. Simulated Annealing (SA) is a local search probabilistic procedure that is known to be able to deal with multimodal problems. SA for BAO was retrospectively applied to ten clinical examples of treated cases of head-and neck tumors signalized as complex cases where proper target coverage and organ sparing proved difficult to achieve. The number of directions to use was considered fixed and equal to 5 or 7. It is shown that SA can lead to solutions that significantly improve organ sparing, even considering a reduced number of angles, without jeopardizing tumor coverage.