|
1. M. Alber, “Intensity modulated photon beams subject to a minimal surface smoothing constraint,” Physics in Medicine and Biology, vol.45, no.5, pp. N49-N52, 2000
|
|
2. G. Amit, T. G. Purdie, A. Levinshtein, et al., “Automatic learning-based beam angle selection for thoracic IMRT,” Medical Physics, vol.42, no.4, pp.1992 -2005, 2015
|
|
3. J. Dias, H. Rocha, B. Ferreira, et al., “A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization,” Central European Journal of Operations Research, vol.22, no.3, pp.431-455, 2014
|
|
4. K. Engel, “A new algorithm for optimal multileaf collimator field segmentation,” Discrete Applied Mathematics, vol.152, no.1-3, pp.35-51, 2005
|
|
5. C. Holdsworth, M. Kim, J. Liao, et al., “The use of a multiobjective evolutionary algorithm to increase flexibility in the search for better IMRT plans,” Medical Physics, vol.39, no.4, pp.2261-2274, 2012
|
|
6. T. Kalinowski, “Realization of intensity modulated radiation fields using multileaf collimators,” Electronic Notes in Discrete Mathematics, vol.21, pp.319-320, 2006
|
|
7. T. Kalinowski, “The complexity of minimizing the number of shape matrices subject to minimal beam-on time in multileaf collimator field decomposition with bounded fluence,” Discrete Applied Mathematics, vol.157, no.9, pp.2089-2104, 2009
|
|
8. G. J. Lim, W. Cao, “A two-phase method for selecting IMRT treatment beam angles: Branch-and-Prune and local neighborhood search,” European Journal of Operational Research, vol.217, no.3, pp.609-618, 2012
|
|
9. M.M. Matuszak, E.W. Larsen, and B.A. Fraass, “Reduction of IMRT beam complexity through the use of beam modulation penalties in the objective function,” Medical Physics, vol.34, no.2, pp.507-520, 2007
|
|
10. M.M. Matuszak, E.W. Larsen, K.W. Jee, et al., “Adaptive diffusion smoothing: A diffusion-based method to reduce IMRT field complexity,” Medical Physics, vol.35, no.4, pp.1532-1546, 2008
|
|
11. P. Suss, K. H. Kufer, and C. Thieke, “Improved stratification algorithms for step-and-shoot MLC delivery in intensity-modulated radiation therapy,” Physics in Medicine and Biology, vol.52, no.19, pp. 6039-6052, 2007
|
|
12. S. Webb, “Intensity-modulated radiation therapy (IMRT): a clinical reality for cancer treatment," any fool can understand this": The 2004 Silvanus Thompson Memorial Lecture,” British Journal of Radiology, Special Issue 2, pp. S64-S72, 2005
|
|
13. D. Zhou, H. Zhang, P. Ye, “Lateral penumbra modelling based leaf end shape optimization for multileaf collimator in radiotherapy,” Computational and mathematical methods in medicine, 9515794, 2016
|
|
14. L. Zhu, L. Lee, Y. Ma, et al., “Using total-variation regularization for intensity modulated radiation therapy inverse planning with field-specific numbers of segments,” Physics in Medicine and Biology, vol.53, no.23, pp. 6653-6672, 2008
|
|
15. L. Zhu, and L. Xing, “Search for IMRT inverse plans with piecewise constant fluence maps using compressed sensing techniques,” Medical Physics, vol.36, no.5, pp.1895-1905, 2009
|
|
16. T. Zhuang, “On the effect of intrafraction motion in a single fraction step‐shoot IMRT,” Medical Physics, vol. 42, no.7, pp.4310 -4319,2015
|
|
17. P. Ziegenhein, C. P. Kamerling, M. Bangert, et al., “Performance-optimized clinical IMRT planning on modern CPUs,” Physics in Medicine & Biology, vol.58, no.11, pp. 3705-3715, 2013
|