Machine Learning for Depth Dose Distribution Forming in Proton Therapy
https://doi.org/10.56304/S2079562922050347
Abstract
We have considered the possibility of using a neural network for calculation the weight coefficients corresponding to the Bragg curves for forming a uniform depth dose distribution in proton therapy.
About the Authors
L. Yu. Ovchinnikova
Institute for Nuclear Research, Russian Academy of Sciences;
JSC Ferrit-Domen Research Institute
Russian Federation
Russian Federation
Moscow, 117312;
St. Petersburg, 196006
A. S. Kurilik
Institute for Nuclear Research, Russian Academy of Sciences
Russian Federation
Russian Federation
Moscow, 117312
References
1. Яковлев И.А. Методы повышения конформности протонной лучевой терапии. Дис. к.ф.-м.н. 01.04.01. Москва. 2018.
2. RapidPlan Knowledge-Based Planning. Varian Medical Systems. 2013. https://www.varian.com/products/radiotherapy/treatment-planning/rapidplanknowledgebased-planning
3. Paramonov V., Durkin A., Kolomiets A.A // Proc. Russian Particle Accelerator Conf. (RuPAC’21). 2021. V. 27. P. 117. https://doi.org/10.18429/JACoW-RuPAC2021-FRB04
4. Allison J. et al. // Nucl. Instrum. Methods Phys., Res. Sect. A. 2016. V. 835. P. 186. https://doi.org/10.1016/j.nima.2016.06.125
5. Ovchinnikova L. et al. // Proc. Russian Particle Accelerator Conf. (RuPAC'21). 2021. V. 27. P. 182. https://doi.org/10.18429/JACoW-RuPAC2021-MOPSA41
6. Paszke A. et al. // Adv. Neural Inform. Proc. Sys. 2019. V. 32. P. 8024. https://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deeplearning-library.pdf
7. Ovchinnikova L., Kurilik A. // Proc. LaPlas-2022. 2022. P. 297. https://laplas.mephi.ru/wp-content/uploads/2022/04/Teзиcы2022.pdf
Review
For citations:
Ovchinnikova L.Yu., Kurilik A.S. Machine Learning for Depth Dose Distribution Forming in Proton Therapy. Nuclear Physics and Engineering. 2023;14(5):453-455. (In Russ.) https://doi.org/10.56304/S2079562922050347
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