Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/22371
Title: FOTELP-VOX-OA: Enhancing radiotherapy planning precision with particle transport simulations and Optimization Algorithms
Authors: Zivkovic, Milena
Andric, Filip
Svičević, Marina
Krstic, Dragana
Krstic, Lazar
Pirković, Bogdan
Miladinovic, Tatjana B.
Aichouche , Mohamed El Amin
Journal: Computer methods and programs in biomedicine
Issue Date: 2025
Abstract: Accurate tumor targeting with minimal exposure to healthy tissue remains a significant challenge in radiotherapy. Modern techniques like Intensity-Modulated Radiation Therapy and stereotactic radiotherapy increasingly rely on detailed simulations and planning to achieve maximum treatment efficiency. Particle transport simulations play a crucial role in accurately modeling interactions between radiation and biological structures, providing a foundation for advancements in treatment planning. Building on this, FOTELP-VOX-OA is introduced as a novel framework designed to determine the optimal external-beam radiotherapy treatment plan. The primary aim of this study is to integrate the existing FOTELP-VOX framework with various Optimization Algorithms, focusing on estimating the parameters of interest that lead to the optimal radiation dose. While the framework itself is not pathology-specific, ocular melanoma is chosen as a test case due to its requirement for exceptionally precise dose delivery, given the small tumor volume and proximity of critical ocular structures.
URI: https://scidar.kg.ac.rs/handle/123456789/22371
Type: article
DOI: 10.1016/j.cmpb.2025.108838
ISSN: 01692607
Appears in Collections:Faculty of Science, Kragujevac

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