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Showing content from https://doi.org/10.1007/978-0-387-73299-2_3 below:

Neuro-dynamic programming for fractionated radiotherapy planning

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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1. Department of Mathematics, University of Wisconsin at Madison, 480 Lincoln Dr., Madison, WI, 53706, USA

   Geng Deng

2. Computer Sciences Department, University of Wisconsin at Madison, 1210 W. Dayton Street, Madison, WI, 53706, USA

   Michael C. Ferris

1. Geng Deng
2. Michael C. Ferris

1. InstitutoSuperiorTécnico, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal

   Carlos J. S. Alves

2. Department of Industrialand Systems Engineering, University of Florida, 303 Weil Hall, Gainesville, FL, 32611, USA

   Panos M. Pardalos  & Panos M. Pardalos  & 

3. Departamento de Matemática Faculdade de Ciências e Tecnologia, Universidade de Coimbra, 3001-454, Coimbra, Portugal

   Luis Nunes Vicente

© 2008 Springer Science+Business Media, LLC

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

• eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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