Radiotherapy optimAl Design: An Academic Radiotherapy Treatment Design System

Citation data:

Operations Research and Cyber-Infrastructure, ISSN: 1387-666X, Vol: 47, Page: 401-425

Publication Year:
2009
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Downloads 857
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Citations 2
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Repository URL:
https://digitalcommons.trinity.edu/math_faculty/16
DOI:
10.1007/978-0-387-88843-9_21
Author(s):
R. Acosta; W. Brick; A. Hanna; A. Holder; D. Lara; G. McQuilen; D. Nevin; P. Uhlig; B. Salter
Publisher(s):
Springer Nature; Springer
Tags:
Computer Science; Decision Sciences; Optimization; Radiotherapy; Radiosurgery; Medical Physics; Mathematics; Physical Sciences and Mathematics
book chapter description
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 comparisons between different solution techniques on the same design problem, 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), which includes a novel reduction scheme, a flexible design to support comparative research, and a new imaging construct. © Springer Science+Business Media, LLC 2009.