In this paper, we develop a new optimization algorithm for Intensity Modulated Radiation Therapy (IMRT) planning using a dynamical systems approach. IMRT is a technique used to deliver precise radiation doses to a targeted tumor while avoiding surrounding critical structures. Modeling and optimizing an IMRT plan is a challenging task since tumors can change in size, shape, and position during the course of fractionated treatment. Accordingly, re-optimization of radiation beam weights is generally needed for each treatment fraction, which is computationally expensive and practically inefficient. We establish a recursive algorithm, which is based on the development of a constrained Kalman filter, to develop a complete treatment plan that takes changes in the tumor geometry into account. We implement this new algorithm to a model case demonstrating its robustness for IMRT planning.

Original languageEnglish
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781424477456
StatePublished - 2010
Event49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370


Conference49th IEEE Conference on Decision and Control, CDC 2010
Country/TerritoryUnited States


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