TY - GEN
T1 - Constrained Kalman filtering for IMRT optimization
AU - Dasanayake, Isuru
AU - El Naqa, Issam
AU - Li, Jr Shin
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79953132494&partnerID=8YFLogxK
U2 - 10.1109/CDC.2010.5717478
DO - 10.1109/CDC.2010.5717478
M3 - Conference contribution
AN - SCOPUS:79953132494
SN - 9781424477456
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4703
EP - 4708
BT - 2010 49th IEEE Conference on Decision and Control, CDC 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Conference on Decision and Control, CDC 2010
Y2 - 15 December 2010 through 17 December 2010
ER -