DocumentCode :
2918623
Title :
A tutorial on optimization methods for cancer radiation treatment planning
Author :
Hindi, Haitham
Author_Institution :
Walmart Labs., Mountain View, CA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
6804
Lastpage :
6816
Abstract :
Every year, thousands of cancer patients receive radiation treatment. Radiation beams are delivered to the patient from different directions, with high precision, with the objective of maximizing dosage to the tumor, while minimizing damage to the surrounding healthy tissue. This paper is an introduction to the basic optimization problem underlying radiation treatment planning. Specifically, we show how the computation of optimal beam directions and intensities can be formulated as a convex optimization problem. We discuss some common metrics and constraints used in radiation treatment planning, using methods from optimization, medical physics, and finance and risk management. We also review some effective parallelizable methods that have been developed for solving this inherently large-scale, multi-objective optimization problem.
Keywords :
cancer; optimisation; patient treatment; radiation therapy; risk management; cancer patients; cancer radiation treatment planning; convex optimization problem; healthy tissue; medical physics; multiobjective optimization problem; optimal beam directions; optimization methods; risk management; tumor dosage maximization; Computed tomography; Geometry; Measurement; Optimization; Planning; Tumors; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580908
Filename :
6580908
Link To Document :
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