A Tutorial on Radiation Oncology and Optimization
Identifieur interne : 006317 ( Main/Exploration ); précédent : 006316; suivant : 006318A Tutorial on Radiation Oncology and Optimization
Auteurs : Allen Holder [États-Unis] ; Bill Salter [États-Unis, Niger]Source :
- International Series in Operations Research & Management Science [ 0884-8289 ]
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.
Url:
DOI: 10.1007/0-387-22827-6_4
Affiliations:
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