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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 |
Files in This Item:
File | Description | Size | Format | |
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FOTELP-VOX-OA.pdf Restricted Access | 2.98 MB | Adobe PDF | View/Open |
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