A Multi-Criteria Framework with Voxel-Dependent Parameters for Radiotherapy Treatment Plan Optimization
Masoud Zarepisheh, Andres F. Uribe-Sanchez, Nan Li, Xun Jia, and Steve, B. Jiang

TL;DR
This paper introduces a new mathematical framework for radiotherapy treatment plan optimization that demonstrates voxel-dependent parameters can generate better trade-offs and maintain Pareto optimality, advancing clinical planning methods.
Contribution
The work establishes a novel mathematical framework with theorems that clarify the effects of voxel-dependent parameters and shows their advantages over organ-dependent parameters in treatment optimization.
Findings
Voxel-dependent parameters explore larger Pareto surfaces.
Adjusting voxel weighting factors maintains Pareto optimality.
Voxel-based models are less sensitive to objective function choice.
Abstract
In a treatment plan optimization problem for radiotherapy, a clinically acceptable plan is usually generated by an optimization process with weighting factors or reference doses adjusted for organs. Recent discoveries indicate that adjusting parameters associated with each voxel may lead to better plan quality. However, it is still unclear regarding the mathematical reasons behind it. To answer questions related to this problem, we establish in this work a new mathematical framework equipped with two theorems. The new framework clarifies the different consequences of adjusting organ-dependent and voxel-dependent parameters for the treatment plan optimization of radiation therapy, as well as the different effects of adjusting weighting factors versus reference doses in the optimization process. The main discoveries are threefold: 1) While in the organ-based model the selection of the…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Medical Imaging Techniques and Applications · Radiation Therapy and Dosimetry
