A Tutorial on Radiation Oncology and Optimization
Allen Holder () and
Bill Salter ()
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Allen Holder: Trinity University
Bill Salter: University of Texas Health Science Center
Chapter Chapter 4 in Tutorials on Emerging Methodologies and Applications in Operations Research, 2005, pp 4-1-4-45 from Springer
Abstract:
Abstract Designing radiotherapy treatments is a complicated and important task that affects patient care, and modern delivery systems enable a physician more flexibility than can be considered. Consequently, treatment design is increasingly automated by techniques of optimization, and many of the advances in the design process are accomplished by a collaboration among medical physicists, radiation oncologists, and experts in optimization. This tutorial is meant to aid those with a background in optimization in learning about treatment design. Besides discussing several optimization models, we include a clinical perspective so that readers understand the clinical issues that are often ignored in the optimization literature. Moreover, we discuss many new challenges so that new researchers can quickly begin to work on meaningful problems.
Keywords: Optimization; Radiation Oncology; Medical Physics; Operations Research (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-0-387-22827-3_4
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DOI: 10.1007/0-387-22827-6_4
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