Abstract
We are developing a new approach to optimize Intensity Modulated Radiation Therapy plans in the presence of uncertainty. We first present a problem formulation to describe the stochastic or semi-robust problem. Unfortunately, this formulation is infeasible to solve in a reasonable time on modern computers. We recognized this and developed a randomized algorithm approach using voxel sampling to solve the problem quickly. This approach turns out to be useful for solving normal IMRT optimization problems as well.
Keywords
IMRT voxel sampling
Subject Categories
Radiotherapy--Technological innovations
Disciplines
Biomedical Engineering and Bioengineering
Publisher
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Publication Date
2007
Rights Holder
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Permanent URL
Recommended Citation
Martin, Benjamin; Castañon, David; and Bortfeld, Thomas, "Accelerating IMRT Optimzation by Voxel Sampling" (2007). Research Thrust R2 Presentations. Paper 5. http://hdl.handle.net/2047/d10009061
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COinS
Notes
Poster presented at the 2007 Thrust R2D Image Understanding and Sensor Fusion Methods Conference