Summary
We investigate an on-line planning strategy for the fractionated radiotherapy planning problem, which incorporates the effects of day-to-day patient motion. On-line planning demonstrates significant improvement over off-line strategies in terms of reducing registration error, but it requires extra work in the replanning procedures, such as in the CT scans and the re-computation of a deliverable dose profile. We formulate the problem in a dynamic programming framework and solve it based on the approximate policy iteration techniques of neuro-dynamic programming. In initial limited testing, the solutions we obtain outperform existing solutions and offer an improved dose profile for each fraction of the treatment.
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© 2008 Springer Science+Business Media, LLC
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Deng, G., Ferris, M.C. (2008). Neuro-dynamic programming for fractionated radiotherapy planning. In: Alves, C.J.S., Pardalos, P.M., Vicente, L.N. (eds) Optimization in Medicine. Springer Optimization and Its Applications, vol 12. Springer, New York, NY. https://doi.org/10.1007/978-0-387-73299-2_3
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DOI: https://doi.org/10.1007/978-0-387-73299-2_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-73298-5
Online ISBN: 978-0-387-73299-2
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