Paper Info
Title
Iterative solution methods for beam angle and fluence map optimization in intensity modulated radiation therapy planning
Abstract
We present computational approaches for optimizing beam angles and fluence maps in Intensity Modulated Radiation Therapy (IMRT) planning. We assume that the number of angles to be used for the treatment is given by the treatment planner. A mixed integer programming (MIP) model and a linear programming (LP) model are used to find an optimal set of beam angles and their corresponding fluence maps. The MIP model is solved using the branch-and-bound method while the LP model is solved using the interior point method. In order to reduce the computational burden for solving the optimization models, we introduce iterative beam angle elimination algorithms in which an insignificant beam angle is eliminated in each iteration. Other techniques are also explored including feasible set reduction for LP and data reduction. Experiments are made to show the computational advantage of the iterative methods for optimizing angles using real patient cases.
Year
DOI
Venue
2008
10.1007/s00291-007-0096-1
Or Spektrum
Keywords
Field
DocType
linear program,iteration method,data reduction,interior point method
Mathematical optimization,Iterative method,Feasible region,Integer programming,Beam (structure),Linear programming,Interior point method,Fluence,Mathematics,Data reduction
Journal
Volume
Issue
ISSN
30
2
0171-6468
Citations 
PageRank 
References 
22
1.48
9
Authors
3
Name
Order
Citations
PageRank
Gino J. Lim111516.51
Jaewon Choi29211.74
Radhe Mohan3221.82