Document Type
Post-Print
Publication Date
2009
Abstract
Optimally designing radiotherapy and radiosurgery treatments to increase the likelihood of a successful recovery from cancer is an important application of operations research. Researchers have been hindered by the lack of academic software that supports head-to-head comparisons of different techniques, and this article addresses the inherent difficulties of designing and implementing an academic treatment planning system. In particular, this article details the algorithms and the software design of Radiotherapy optimAl Design (RAD).
Editor
John W. Chinneck, Bjarni Kristjansson, Matthew J. Saltzman
Identifier
10.1007/978-0-387-88843-9_21
Publisher
Springer
City
New York
ISBN
9780387888422
Repository Citation
Acosta, R., Brick, W., Hanna, A., Holder, A., Lara, D., McQuilen, G., et al. (2009). Radiotherapy optimAl design: An academic radiotherapy treatment design system. In J. W. Chinneck, B. Kristjansson, & M. J. Saltzman (Eds.), Operations Research/Computer Science Interfaces: Vol. 47. Operations Research and Cyber-Infrastructure (pp. 401-425). doi: 10.1007/978-0-387-88843-9_21
Publication Information
Operations Research/Computer Science Interfaces: Operations Research and Cyber-Infrastructure