A feasible dose-volume estimation of radiotherapy treatment with optimal transport using a concept for transportation of Ricci-flat time-varying dose-volume
Yusuke Anetai, Jun'ichi Kotoku

TL;DR
This paper introduces a novel optimal transport method in a Ricci-flat geometric space to accurately estimate the cumulative dose-volume histogram in radiotherapy, accounting for time-varying effects across treatment fractions.
Contribution
It proposes a new mathematical framework using Ricci-flat geometry and optimal transport to evaluate the total DVH in radiotherapy, overcoming traditional summation challenges.
Findings
Developed a geometric model for DVH transportation in Riemannian manifold.
Derived a Poisson's equation-based probability distribution for dose-volume data.
Provided a feasible method for total DVH estimation considering time-varying effects.
Abstract
In radiotherapy, the dose-volume histogram (DVH) curve is an important means of evaluating the clinical feasibility of tumor control and side effects in normal organs against actual treatment. Fractionation, distributing the amounts of irradiation, is used to enhance the treatment effectiveness of tumor control and mitigation of normal tissue damage. Therefore, dose and volume receive time-varying effects per fractional treatment event. However, the difficulty of DVH superimposition of different situations prevents evaluation of the total DVH despite different shapes and receiving dose distributions of organs in each fraction. However, an actual evaluation is determined traditionally by the initial treatment plan because of summation difficulty. Mathematically, this difficulty can be regarded as a kind of optimal transport of DVH. For this study, we introduced DVH transportation on the…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Medical Imaging Techniques and Applications · Radiation Detection and Scintillator Technologies
