Analysis of a Radiotherapy Model for Brain Tumors
Marina Chugunova, Hangjie Ji, Roman Taranets, Nataliya Vasylyeva

TL;DR
This paper investigates a mathematical model for brain tumors influenced by radiotherapy, proving existence, uniqueness, and regularity of solutions, and analyzing optimal control of radiotherapy effects with numerical validation.
Contribution
It provides new analytical results on the existence, uniqueness, and regularity of solutions, and explores optimal control strategies in a radiotherapy tumor model.
Findings
Proved existence and uniqueness of solutions under certain conditions
Established additional regularity for solutions with regular initial data
Numerical illustrations support analytical results
Abstract
In this work, we focus on the analytical and numerical study of a mathematical model for brain tumors with radiotherapy influence. Under certain assumptions on the given data in the model, we prove existence and uniqueness of a weak nonnegative (biological relevant) solution. Then, assuming only more regular initial data, we obtain the extra regularity of this solution. Besides, we analyze the optimal control of the advection coefficient responding for the radiotherapy effect on the tumor cell population. Finally, we provide numerical illustration to all obtained analytical results.
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Taxonomy
TopicsBrain Tumor Detection and Classification
