Abstract
Radiation incidences (angles) that are used in Intensity Modulated Radiation Therapy (IMRT) treatments have a significant influence in the treatment clinical outcome. In clinical practice, the angles are usually chosen after a lengthy trial and error procedure that is significantly dependent on the planner’s experience and time availability. The use of optimization models and algorithms can be an important contribution to the treatment planning, improving the quality of the solution reached and decreasing the time spent on the process. This paper describes a Dynamically Dimensioned Search (DDS) approach for IMRT beam angle optimization. Several different sets of parameters and search options were analyzed. Computational tests show that the final outcome is strongly influenced by these choices. This motivated the use of a cross-validation based procedure for choosing the algorithm’s configuration, considering a set of ten retrospective treated cases of head-and-neck tumors at the Portuguese Institute of Oncology of Coimbra.
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References
D’Souza, W., Meyer, R.R., Shi, L.: Selection of beam orientations in intensity-modulated radiation therapy using single-beam indices and integer programming. Physics in Medicine and Biology 49, 3465–3481 (2004)
Lu, H.M., Kooy, H.M., Leber, Z.H., Ledoux, R.J.: Optimized beam planning for linear accelerator-based stereotactic radiosurgery. International Journal of Radiation Oncology, Biology, Physics 39, 1183–1189 (1997)
Goitein, M., Abrams, M., Rowell, D., Pollari, H., Wiles, J.: Multi-dimensional treatment planning: II. Beam’s eye-view, back projection, and projection through CT sections. International Journal of Radiation Oncology* Biology* Physics 9, 789–797 (1983)
Pugachev, A., Xing, L.: Pseudo beam’s eye-view as applied to beam orientation selection in intensity-modulated radiation therapy. International Journal of Radiation Oncology* Biology* Physics 51, 1361–1370 (2001)
Pugachev, A., Xing, L.: Computer-assisted selection of coplanar beam orientations in intensity-modulated radiation therapy. Physics in Medicine and Biology 46, 2467–2476 (2001)
Aleman, D., Romeijn, H., Dempsey, J.: A Response Surface-Based Approach to Beam Orientation Optimization in IMRT Treatment Planning. In: IIE Annual Conf. Exposition, Orlando, FL (2008)
Rocha, H., Dias, J., Ferreira, B.C., Lopes, M.C.: Selection of intensity modulated radiation therapy treatment beam directions using radial basis functions within a pattern search methods framework. Journal of Global Optimization 57, 1065–1089 (2013)
Lee, E.K., Fox, T., Crocker, I.: Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy. International Journal of Radiation Oncology, Biology, Physics 64, 301–320 (2006)
Djajaputra, D., Wu, Q., Wu, Y., Mohan, R.: Algorithm and performance of a clinical IMRT beam-angle optimization system. Physics in Medicine and Biology 48, 3191–3212 (2003)
Bortfeld, T., Schlegel, W.: Optimization of beam orientations in radiation therapy: some theoretical considerations. Physics in Medicine and Biology 38, 291–304 (1993)
Li, Y., Yao, D., Yao, J., Chen, W.: A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning. Physics in Medicine and Biology 50, 3491 (2005)
Dias, J., Rocha, H., Ferreira, B., Lopes, M.C.: A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization. Central European Journal of Operations Research (2013) (accepted for publication)
Wu, X., Zhu, Y., Dai, J., Wang, Z.: Selection and determination of beam weights based on genetic algorithms for conformal radiotherapy treatment planning. Physics in Medicine and Biology 45, 2547–2558 (2000)
Li, Y., Yao, J., Yao, D.: Automatic beam angle selection in IMRT planning using genetic algorithm. Physics in Medicine and Biology 49, 1915 (2004)
Ehrgott, M., Johnston, R.: Optimisation of beam directions in intensity modulated radiation therapy planning. OR Spectrum 25, 251–264 (2003)
Lim, G.J., Cao, W.: A two-phase method for selecting IMRT treatment beam angles: Branch-and-Prune and local neighborhood search. European Journal of Operational Research 217, 609–618 (2012)
Das, S.K., Marks, L.B.: Selection of coplanar or noncoplanar beams using three-dimensional optimization based on maximum beam separation and minimized nontarget irradiation. International Journal of Radiation Oncology, Biology, Physics 38, 643 (1997)
Craft, D.: Local beam angle optimization with linear programming and gradient search. Physics in Medicine and Biology 52, N127–N135 (2007)
Dias, J., Rocha, H., Ferreira, B., Lopes, M.C.: IMRT Beam Angle Optimization Using Dynamically Dimensioned Search. In: Zhang, Y.-T. (ed.) The International Conference on Health Informatics. IFMBE Proceedings, vol. 42, pp. 1–4. Springer, Heidelberg (2013)
Aleman, D.M., Kumar, A., Ahuja, R.K., Romeijn, H.E., Dempsey, J.F.: Neighborhood search approaches to beam orientation optimization in intensity modulated radiation therapy treatment planning. Journal of Global Optimization 42, 587–607 (2008)
Romeijn, H.E., Ahuja, R.K., Dempsey, J.F., Kumar, A., Li, J.G.: A novel linear programming approach to fluence map optimization for intensity modulated radiation therapy treatment planning. Physics in Medicine and Biology 48, 3521–3542 (2003)
Tolson, B., Shoemaker, C.: Dynamically dimensioned search algorithm for computationally efficient watershed model calibration. Water Resources Research 43, W01413 (2007)
Regis, R.G., Shoemaker, C.A.: Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization. Engineering Optimization 45, 529–555 (2013)
Deasy, J.O., Blanco, A.I., Clark, V.H.: CERR: A computational environment for radiotherapy research. Medical Physics 30, 979–985 (2003)
Deasy, J., Lee, E.K., Bortfeld, T., Langer, M., Zakarian, K., Alaly, J., Zhang, Y., Liu, H., Mohan, R., Ahuja, R.: A collaboratory for radiation therapy treatment planning optimization research. Annals of Operations Research 148, 55–63 (2006)
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Dias, J.M., Rocha, H., Ferreira, B., do Carmo Lopes, M. (2014). IMRT Beam Angle Optimization Using DDS with a Cross-Validation Approach for Configuration Selection. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8580. Springer, Cham. https://doi.org/10.1007/978-3-319-09129-7_1
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DOI: https://doi.org/10.1007/978-3-319-09129-7_1
Publisher Name: Springer, Cham
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