IMRT Beam Angle Optimization Using DDS with a Cross-Validation Approach for Configuration Selection

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.

[1]  Gino J. Lim,et al.  A two-phase method for selecting IMRT treatment beam angles: Branch-and-Prune and local neighborhood search , 2012, Eur. J. Oper. Res..

[2]  Maria do Carmo Lopes,et al.  Selection of intensity modulated radiation therapy treatment beam directions using radial basis functions within a pattern search methods framework , 2013, J. Glob. Optim..

[3]  T. Bortfeld,et al.  Optimization of beam orientations in radiation therapy: some theoretical considerations. , 1993, Physics in medicine and biology.

[4]  Maria do Carmo Lopes,et al.  IMRT Beam Angle Optimization Using Dynamically Dimensioned Search , 2014 .

[5]  J Dai,et al.  Selection and determination of beam weights based on genetic algorithms for conformal radiotherapy treatment planning. , 2000, Physics in medicine and biology.

[6]  Joseph O. Deasy,et al.  A collaboratory for radiation therapy treatment planning optimization research , 2006, Ann. Oper. Res..

[7]  Leyuan Shi,et al.  Selection of beam orientations in intensity-modulated radiation therapy using single-beam indices and integer programming. , 2004, Physics in medicine and biology.

[8]  Maria do Carmo Lopes,et al.  A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization , 2014, Central Eur. J. Oper. Res..

[9]  H. Romeijn,et al.  A novel linear programming approach to fluence map optimization for intensity modulated radiation therapy treatment planning. , 2003, Physics in medicine and biology.

[10]  Bryan A. Tolson,et al.  Dynamically dimensioned search algorithm for computationally efficient watershed model calibration , 2007 .

[11]  Dionne M. Aleman,et al.  TU‐EE‐A2‐01: A Response Surface‐Based Approach to Beam Orientation Optimization in IMRT , 2006 .

[12]  L. Xing,et al.  Pseudo beam's-eye-view as applied to beam orientation selection in intensity-modulated radiation therapy. , 2001, International journal of radiation oncology, biology, physics.

[13]  A Pugachev,et al.  Computer-assisted selection of coplanar beam orientations in intensity-modulated radiation therapy. , 2001, Physics in medicine and biology.

[14]  Yuan-ting Zhang,et al.  The International Conference on Health Informatics , 2014 .

[15]  Radhe Mohan,et al.  Algorithm and performance of a clinical IMRT beam-angle optimization system. , 2003, Physics in medicine and biology.

[16]  Eva K. Lee,et al.  Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy. , 2006, International journal of radiation oncology, biology, physics.

[17]  M. Goitein,et al.  Multi-dimensional treatment planning: II. Beam's eye-view, back projection, and projection through CT sections. , 1983, International journal of radiation oncology, biology, physics.

[18]  Matthias Ehrgott,et al.  Optimisation of beam directions in intensity modulated radiation therapy planning , 2003, OR Spectr..

[19]  Joseph O Deasy,et al.  CERR: a computational environment for radiotherapy research. , 2003, Medical physics.

[20]  Y. Li,et al.  Automatic beam angle selection in IMRT planning using genetic algorithm. , 2004, Physics in medicine and biology.

[21]  D. Craft.  Local beam angle optimization with linear programming and gradient search , 2007, Physics in medicine and biology.

[22]  C. Shoemaker,et al.  Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization , 2013 .

[23]  L B Marks,et al.  Selection of coplanar or noncoplanar beams using three-dimensional optimization based on maximum beam separation and minimized nontarget irradiation. , 1997, International journal of radiation oncology, biology, physics.

[24]  Wufan Chen,et al.  A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning , 2005, Physics in medicine and biology.

[25]  H M Kooy,et al.  Optimized beam planning for linear accelerator-based stereotactic radiosurgery. , 1997, International journal of radiation oncology, biology, physics.

[26]  Arvind Kumar,et al.  Neighborhood search approaches to beam orientation optimization in intensity modulated radiation therapy treatment planning , 2008, J. Glob. Optim..