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A novel algorithm for the calculation of physical and biological irradiation quantities in scanned ion beam therapy: the beamlet superposition approach

Articolo
Data di Pubblicazione:
2016
Abstract:
The calculation algorithm of a modern treatment planning system for ion-beam radiotherapy should ideally be able to deal with different ion species (e.g. protons and carbon ions), to provide relative biological effectiveness (RBE) evaluations and to describe different beam lines. In this work we propose a new approach for ion irradiation outcomes computations, the beamlet superposition (BS) model, which satisfies these requirements.This model applies and extends the concepts of previous fluence-weighted pencil-beam algorithms to quantities of radiobiological interest other than dose, i.e. RBE- and LET-related quantities. It describes an ion beam through a beam-line specific, weighted superposition of universal beamlets. The universal physical and radiobiological irradiation effect of the beamlets on a representative set of water-like tissues is evaluated once, coupling the pertrack information derived from FLUKA Monte Carlo simulations with the radiobiological effectiveness provided by the microdosimetric kinetic model and the local effect model. Thanks to an extension of the superposition concept, the beamlet irradiation action superposition is applicable for the evaluation of dose, RBE and LET distributions. The weight function for the beamlets superposition is derived from the beam phase space density at the patient entrance. A general beam model commissioning procedure is proposed, which has successfully been tested on the CNAO beam line.The BS model provides the evaluation of different irradiation quantities for different ions, the adaptability permitted by weight functions and the evaluation speed of analitical approaches. Benchmarking plans in simple geometries and clinical plans are shown to demonstrate the model capabilities.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
beam model; ion therapy; treatment planning; relative biological effectiveness; microdosimetric kinetic model; local effect model; Monte Carlo
Elenco autori:
Russo, G; Attili, A; Battistoni, G; Bertrand, D; Bourhaleb, F; Cappucci, F; Ciocca, M; Mairani, A; Milian, F M; Molinelli, S; Morone, M C; Muraro, S; Orts, T; Patera, V; Sala, P; Schmitt, E; Vivaldo, G; Marchetto, F
Link alla scheda completa:
https://iris.unito.it/handle/2318/2024190
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2024190/1395370/PMB-101461.R4.pdf
Pubblicato in:
PHYSICS IN MEDICINE AND BIOLOGY
Journal
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