Analysis of a Radiotherapy Model for Brain Tumors

Fuente: arXiv
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Main Authors: Chugunova, Marina, Ji, Hangjie, Taranets, Roman, Vasylyeva, Nataliya
Format: Preprint
Published: 2024
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author Chugunova, Marina
Ji, Hangjie
Taranets, Roman
Vasylyeva, Nataliya
author_facet Chugunova, Marina
Ji, Hangjie
Taranets, Roman
Vasylyeva, Nataliya
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_17903
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Analysis of a Radiotherapy Model for Brain Tumors
Chugunova, Marina
Ji, Hangjie
Taranets, Roman
Vasylyeva, Nataliya
Analysis of PDEs
Optimization and Control
Medical Physics
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.
title Analysis of a Radiotherapy Model for Brain Tumors
topic Analysis of PDEs
Optimization and Control
Medical Physics
url https://arxiv.org/abs/2409.17903