Literature DB >> 28873069

Fred: a GPU-accelerated fast-Monte Carlo code for rapid treatment plan recalculation in ion beam therapy.

A Schiavi1, M Senzacqua, S Pioli, A Mairani, G Magro, S Molinelli, M Ciocca, G Battistoni, V Patera.   

Abstract

Ion beam therapy is a rapidly growing technique for tumor radiation therapy. Ions allow for a high dose deposition in the tumor region, while sparing the surrounding healthy tissue. For this reason, the highest possible accuracy in the calculation of dose and its spatial distribution is required in treatment planning. On one hand, commonly used treatment planning software solutions adopt a simplified beam-body interaction model by remapping pre-calculated dose distributions into a 3D water-equivalent representation of the patient morphology. On the other hand, Monte Carlo (MC) simulations, which explicitly take into account all the details in the interaction of particles with human tissues, are considered to be the most reliable tool to address the complexity of mixed field irradiation in a heterogeneous environment. However, full MC calculations are not routinely used in clinical practice because they typically demand substantial computational resources. Therefore MC simulations are usually only used to check treatment plans for a restricted number of difficult cases. The advent of general-purpose programming GPU cards prompted the development of trimmed-down MC-based dose engines which can significantly reduce the time needed to recalculate a treatment plan with respect to standard MC codes in CPU hardware. In this work, we report on the development of fred, a new MC simulation platform for treatment planning in ion beam therapy. The code can transport particles through a 3D voxel grid using a class II MC algorithm. Both primary and secondary particles are tracked and their energy deposition is scored along the trajectory. Effective models for particle-medium interaction have been implemented, balancing accuracy in dose deposition with computational cost. Currently, the most refined module is the transport of proton beams in water: single pencil beam dose-depth distributions obtained with fred agree with those produced by standard MC codes within 1-2% of the Bragg peak in the therapeutic energy range. A comparison with measurements taken at the CNAO treatment center shows that the lateral dose tails are reproduced within 2% in the field size factor test up to 20 cm. The tracing kernel can run on GPU hardware, achieving 10 million primary [Formula: see text] on a single card. This performance allows one to recalculate a proton treatment plan at 1% of the total particles in just a few minutes.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28873069     DOI: 10.1088/1361-6560/aa8134

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

Review 1.  Adaptive proton therapy.

Authors:  Harald Paganetti; Pablo Botas; Gregory C Sharp; Brian Winey
Journal:  Phys Med Biol       Date:  2021-11-15       Impact factor: 3.609

2.  Evaluation of electromagnetic and nuclear scattering models in GATE/Geant4 for proton therapy.

Authors:  Andreas F Resch; Alessio Elia; Hermann Fuchs; Antonio Carlino; Hugo Palmans; Markus Stock; Dietmar Georg; Loïc Grevillot
Journal:  Med Phys       Date:  2019-04-15       Impact factor: 4.071

3.  A Data-Driven Fragmentation Model for Carbon Therapy GPU-Accelerated Monte-Carlo Dose Recalculation.

Authors:  Micol De Simoni; Giuseppe Battistoni; Angelica De Gregorio; Patrizia De Maria; Marta Fischetti; Gaia Franciosini; Michela Marafini; Vincenzo Patera; Alessio Sarti; Marco Toppi; Giacomo Traini; Antonio Trigilio; Angelo Schiavi
Journal:  Front Oncol       Date:  2022-03-25       Impact factor: 6.244

4.  Quantification of biological range uncertainties in patients treated at the Krakow proton therapy centre.

Authors:  Magdalena Garbacz; Jan Gajewski; Marco Durante; Kamil Kisielewicz; Nils Krah; Renata Kopeć; Paweł Olko; Vincenzo Patera; Ilaria Rinaldi; Marzena Rydygier; Angelo Schiavi; Emanuele Scifoni; Tomasz Skóra; Agata Skrzypek; Francesco Tommasino; Antoni Rucinski
Journal:  Radiat Oncol       Date:  2022-03-09       Impact factor: 3.481

Review 5.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

6.  Fast robust dose calculation on GPU for high-precision 1H, 4He, 12C and 16O ion therapy: the FRoG platform.

Authors:  Stewart Mein; Kyungdon Choi; Benedikt Kopp; Thomas Tessonnier; Julia Bauer; Alfredo Ferrari; Thomas Haberer; Jürgen Debus; Amir Abdollahi; Andrea Mairani
Journal:  Sci Rep       Date:  2018-10-04       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.