An accurate model for the computation of the dose of protons in water
| Autor: | Valentina Elettra Bellinzona, A. Embriaco, Adriano Fontana, Alberto Rotondi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computation
Gaussian Physics::Medical Physics Biophysics Normal Distribution General Physics and Astronomy Projection (linear algebra) 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine Nuclear magnetic resonance Stopping power (particle radiation) Scattering Radiation Radiology Nuclear Medicine and imaging Proton therapy Physics Models Statistical Water Radiotherapy Dosage General Medicine Symmetry (physics) Computational physics Distribution (mathematics) 030220 oncology & carcinogenesis Transversal (combinatorics) symbols Protons Monte Carlo Method Algorithms |
| Zdroj: | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 38 |
| ISSN: | 1724-191X |
| Popis: | Purpose: The accurate and fast calculation of the dose in proton radiation therapy is an essential ingredient for successful treatments. We propose a novel approach with a minimal number of parameters. Methods: The approach is based on the exact calculation of the electromagnetic part of the interaction, namely the Moliere theory of the multiple Coulomb scattering for the transversal 1D projection and the Bethe-Bloch formula for the longitudinal stopping power profile, including a gaussian energy straggling. To this e.m. contribution the nuclear proton-nucleus interaction is added with a simple two-parameter model. Then, the non gaussian lateral profile is used to calculate the radial dose distribution with a method that assumes the cylindrical symmetry of the distribution. Results: The results, obtained with a fast C++ based computational code called MONET (MOdel of ioN dosE for Therapy), are in very good agreement with the FLUKA MC code, within a few percent in the worst case. Conclusions: This study provides a new tool for fast dose calculation or verification, possibly for clinical use. (C) 2017 Associazione Italiana di Fisica Medica. |
| Databáze: | OpenAIRE |
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