Literature DB >> 26146956

On the nuclear halo of a proton pencil beam stopping in water.

Bernard Gottschalk1, Ethan W Cascio, Juliane Daartz, Miles S Wagner.   

Abstract

The dose distribution of a proton beam stopping in water has components due to basic physics and may have others from beam contamination. We propose the concise terms core for the primary beam, halo (see Pedroni et al 2005 Phys. Med. Biol. 50 541-61) for the low dose region from charged secondaries, aura for the low dose region from neutrals, and spray for beam contamination. We have measured the dose distribution in a water tank at 177 MeV under conditions where spray, therefore radial asymmetry, is negligible. We used an ADCL calibrated thimble chamber and a Faraday cup calibrated integral beam monitor so as to obtain immediately the absolute dose per proton. We took depth scans at fixed distances from the beam centroid rather than radial scans at fixed depths. That minimizes the signal range for each scan and better reveals the structure of the core and halo. Transitions from core to halo to aura are already discernible in the raw data. The halo has components attributable to coherent and incoherent nuclear reactions. Due to elastic and inelastic scattering by the nuclear force, the Bragg peak persists to radii larger than can be accounted for by Molière single scattering. The radius of the incoherent component, a dose bump around midrange, agrees with the kinematics of knockout reactions. We have fitted the data in two ways. The first is algebraic or model dependent (MD) as far as possible, and has 25 parameters. The second, using 2D cubic spline regression, is model independent. Optimal parameterization for treatment planning will probably be a hybrid of the two, and will of course require measurements at several incident energies. The MD fit to the core term resembles that of the PSI group (Pedroni et al 2005), which has been widely emulated. However, we replace their T(w), a mass stopping power which mixes electromagnetic (EM) and nuclear effects, with one that is purely EM, arguing that protons that do not undergo hard single scatters continue to lose energy according to the Beth-Bloch formula. If that is correct, it is no longer necessary to measure T(w), and the dominant role played by the 'Bragg peak chamber' vanishes. For mathematical and other details we will refer to Gottschalk et al (2014, arXiv: 1409.1938v1), a long technical report of this project.

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Year:  2015        PMID: 26146956     DOI: 10.1088/0031-9155/60/14/5627

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


  12 in total

1.  Validation of a Monte Carlo Framework for Out-of-Field Dose Calculations in Proton Therapy.

Authors:  Marijke De Saint-Hubert; Nico Verbeek; Christian Bäumer; Johannes Esser; Jörg Wulff; Racell Nabha; Olivier Van Hoey; Jérémie Dabin; Florian Stuckmann; Fabiano Vasi; Stephan Radonic; Guillaume Boissonnat; Uwe Schneider; Miguel Rodriguez; Beate Timmermann; Isabelle Thierry-Chef; Lorenzo Brualla
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

Review 2.  Determining Out-of-Field Doses and Second Cancer Risk From Proton Therapy in Young Patients-An Overview.

Authors:  Maite Romero-Expósito; Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Front Oncol       Date:  2022-05-31       Impact factor: 5.738

3.  Pitfalls in the beam modelling process of Monte Carlo calculations for proton pencil beam scanning.

Authors:  Carla Winterhalter; Adam Aitkenhead; David Oxley; Jenny Richardson; Damien C Weber; Ranald I MacKay; Antony J Lomax; Sairos Safai
Journal:  Br J Radiol       Date:  2020-02-06       Impact factor: 3.039

4.  Development of a storage phosphor imaging system for proton pencil beam spot profile determination.

Authors:  Jufri Setianegara; Thomas R Mazur; Yao Hao; Deshan Yang; H Harold Li
Journal:  Med Phys       Date:  2021-08-10       Impact factor: 4.506

5.  A simplified Monte Carlo algorithm considering large-angle scattering for fast and accurate calculation of proton dose.

Authors:  Taisuke Takayanagi; Shusuke Hirayama; Shinichiro Fujitaka; Rintaro Fujimoto
Journal:  J Appl Clin Med Phys       Date:  2017-11-27       Impact factor: 2.102

6.  Validation and clinical implementation of an accurate Monte Carlo code for pencil beam scanning proton therapy.

Authors:  Sheng Huang; Minglei Kang; Kevin Souris; Christopher Ainsley; Timothy D Solberg; James E McDonough; Charles B Simone; Liyong Lin
Journal:  J Appl Clin Med Phys       Date:  2018-07-30       Impact factor: 2.102

7.  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

8.  Fast Pencil Beam Dose Calculation for Proton Therapy Using a Double-Gaussian Beam Model.

Authors:  Joakim da Silva; Richard Ansorge; Rajesh Jena
Journal:  Front Oncol       Date:  2015-12-18       Impact factor: 6.244

9.  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

10.  Clinical Validation of a Ray-Casting Analytical Dose Engine for Spot Scanning Proton Delivery Systems.

Authors:  James E Younkin; Danairis Hernandez Morales; Jiajian Shen; Jie Shan; Martin Bues; Jarrod M Lentz; Steven E Schild; Joshua B Stoker; Xiaoning Ding; Wei Liu
Journal:  Technol Cancer Res Treat       Date:  2019 Jan-Dec
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