Results of a Geant4 benchmarking study for bio‐medical applications, performed with the G4‐Med system

标杆管理 水准点(测量) 医学物理学家 蒙特卡罗方法 医学物理学 剂量学 计算机科学 物理 近距离放射治疗 计算科学 核医学 放射治疗 医学 数学 统计 放射科 业务 营销 地理 大地测量学
作者
P. Arce,Jay W. Archer,Lorenzo Arsini,A. Bagulya,David Bolst,Jeremy M. C. Brown,B. Caccia,Andrew Chacon,G.A.P. Cirrone,M. A. Cortés‐Giraldo,Dean Cutajar,G. Cuttone,Paolo Dondero,A. Dotti,Bruce Faddegon,S. Fattori,Christian Fedon,Susanna Guatelli,Akihiro Haga,S. Incerti,V. Ivanchenko,D. Konstantinov,Ioanna Kyriakou,Austin D. Le,Zhuxin Li,Michel Maire,Alessandra Malaroda,C. Mancini-Terracciano,A. Mantero,Claire Michelet,G. Milluzzo,Francesca Nicolanti,Mihály Novák,C. Omachi,L. Pandola,Jake Harold Pensavalle,Álvaro Perales,Y. Perrot,Giada Petringa,Silvia Pozzi,J. M. Quesada,José Ramos‐Méndez,F. Romanò,Anatoly Rosenfeld,Mitra Safavi‐Naeini,D. Sakata,L. G. Sarmiento,Takashi Sasaki,Yoshihide Sato,Alberto Sciuto,Ioannis Sechopoulos,E. C. Simpson,Ronny Stanzani,Alessandra Tomal,T. Toshito,H.N. Tran,Christopher D. White,Dennis H. Wright
出处
期刊:Medical Physics [Wiley]
标识
DOI:10.1002/mp.17678
摘要

Geant4, a Monte Carlo Simulation Toolkit extensively used in bio-medical physics, is in continuous evolution to include newest research findings to improve its accuracy and to respond to the evolving needs of a very diverse user community. In 2014, the G4-Med benchmarking system was born from the effort of the Geant4 Medical Simulation Benchmarking Group, to benchmark and monitor the evolution of Geant4 for medical physics applications. The G4-Med system was first described in our Medical Physics Special Report published in 2021. Results of the tests were reported for Geant4 10.5. In this work, we describe the evolution of the G4-Med benchmarking system. The G4-Med benchmarking suite currently includes 23 tests, which benchmark Geant4 from the calculation of basic physical quantities to the simulation of more clinically relevant set-ups. New tests concern the benchmarking of Geant4-DNA physics and chemistry components for regression testing purposes, dosimetry for brachytherapy with a 125I$^{125}I$ source, dosimetry for external x-ray and electron FLASH radiotherapy, experimental microdosimetry for proton therapy, and in vivo PET for carbon and oxygen beams. Regression testing has been performed between Geant4 10.5 and 11.1. Finally, a simple Geant4 simulation has been developed and used to compare Geant4 EM physics constructors and physics lists in terms of execution times. In summary, our EM tests show that the parameters of the multiple scattering in the Geant4 EM constructor G4EmStandardPhysics_option3 in Geant4 11.1, while improving the modeling of the electron backscattering in high atomic number targets, are not adequate for dosimetry for clinical x-ray and electron beams. Therefore, these parameters have been reverted back to those of Geant4 10.5 in Geant4 11.2.1. The x-ray radiotherapy test shows significant differences in the modeling of the bremsstrahlung process, especially between G4EmPenelopePhysics and the other constructors under study (G4EmLivermorePhysics, G4EmStandardPhysics_option3, and G4EmStandardPhysics_option4). These differences will be studied in an in-depth investigation within our Group. Improvement in Geant4 11.1 has been observed for the modeling of the proton and carbon ion Bragg peak with energies of clinical interest, thanks to the adoption of ICRU90 to calculate the low energy proton stopping powers in water and of the Linhard-Sorensen ion model, available in Geant4 since version 11.0. Nuclear fragmentation tests of interest for carbon ion therapy show differences between Geant4 10.5 and 11.1 in terms of fragment yields. In particular, a higher production of boron fragments is observed with Geant4 11.1, leading to a better agreement with reference data for this fragment. Based on the overall results of our tests, we recommend to use G4EmStandardPhysics_option4 as EM constructor and QGSP_BIC_HP with G4EmStandardPhysics_option4, for hadrontherapy applications. The Geant4-DNA physics lists report differences in modeling electron interactions in water, however, the tests have a pure regression testing purpose so no recommendation can be formulated.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
玄武岩完成签到,获得积分10
1秒前
1秒前
2秒前
KevinL完成签到,获得积分10
2秒前
2秒前
3秒前
ming发布了新的文献求助10
3秒前
5秒前
自由念露完成签到,获得积分10
6秒前
大大怪完成签到,获得积分10
6秒前
小高加油完成签到,获得积分10
6秒前
嘟嘟嘟完成签到 ,获得积分10
7秒前
独特的绯完成签到,获得积分10
7秒前
7秒前
songnvshi发布了新的文献求助10
7秒前
科目三应助超级的路人采纳,获得10
7秒前
英勇明雪发布了新的文献求助10
7秒前
深情安青应助伶俐一曲采纳,获得10
8秒前
陶醉土豆完成签到,获得积分10
9秒前
9秒前
9秒前
chen完成签到,获得积分10
9秒前
852应助听星伴月采纳,获得10
9秒前
9秒前
文艺的初蓝完成签到 ,获得积分10
10秒前
木棉发布了新的文献求助10
10秒前
科目三应助MDRen采纳,获得10
11秒前
王铭元完成签到,获得积分10
11秒前
11秒前
老板多加折耳根完成签到,获得积分10
11秒前
11秒前
CipherSage应助独特的绯采纳,获得10
11秒前
四月发布了新的文献求助10
12秒前
深情安青应助ayawbb采纳,获得10
12秒前
Zechn发布了新的文献求助20
12秒前
栗子发布了新的文献求助20
13秒前
阿落落呀完成签到,获得积分10
13秒前
日川冈坂发布了新的文献求助10
13秒前
鬼才之眼发布了新的文献求助10
13秒前
朱立麒发布了新的文献求助10
14秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Continuum thermodynamics and material modelling 2000
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Les Mantodea de Guyane Insecta, Polyneoptera 1000
지식생태학: 생태학, 죽은 지식을 깨우다 700
Neuromuscular and Electrodiagnostic Medicine Board Review 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3468585
求助须知:如何正确求助?哪些是违规求助? 3061641
关于积分的说明 9076789
捐赠科研通 2752112
什么是DOI,文献DOI怎么找? 1510303
科研通“疑难数据库(出版商)”最低求助积分说明 697693
邀请新用户注册赠送积分活动 697688