Determination of Dose Distributions by Monte-Carlo Simulation of 6 MV Photon Beam of Varian VitalBeam Accelerator Using Geant4 Multithreaded Code

蒙特卡罗方法 光子 编码(集合论) 计算物理学 物理 统计物理学 计算机科学 核物理学 数学 光学 统计 集合(抽象数据类型) 程序设计语言
作者
Julius S. Chiuyo,Innocent J. Lugendo,Wilbroad E. Muhogora
出处
期刊:Journal of Medical Physics [Medknow]
卷期号:47 (2): 181-188 被引量:1
标识
DOI:10.4103/jmp.jmp_139_21
摘要

Background: Accuracy of dose delivery in radiation therapy is a primary requirement for effective cancer treatment. In practice, dose delivery accuracy of ±5% is desired. To achieve this accuracy level, an accurate method for calculating the dose distributions in the tumor volume is required. Monte-Carlo method is one of the methods considered to be the most accurate for calculating dose distributions. Materials and Methods: G4 linac-MT code was used to simulate a 6 MV photon beam. The initial electron beam parameters were tuned to validate the beam modeling from depth doses and beam profile. The dose distributions measured in water phantom were compared to the calculated dose distributions based on gamma index criterion. Results: The beam tuning showed the initial electron energy, sigma and full width at half maximum of 6.2 MeV, 0.8 MeV, and 1.18 mm, respectively, best match the measured dose distributions. The gamma index tests showed the calculated depth doses and beam profile were generally comparable with measurements, passing the standard acceptance criterion of 2%/2 mm. The simulated photon beam was justified by the index of beam quality, which showed excellent agreement with measured doses with a discrepancy of 0.1%. Conclusion: The observed agreement confirm the accuracy of the simulated 6 MV photon beam. It can therefore be used as radiation source for calculating dose distributions and further investigations aimed at improving dose delivery and planning in cancer patients.

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
刚刚
暴躁的惜筠完成签到,获得积分10
1秒前
陈陈完成签到,获得积分10
1秒前
CipherSage应助tianwu采纳,获得10
1秒前
1秒前
luo完成签到,获得积分10
1秒前
1秒前
bkagyin应助wnz采纳,获得10
1秒前
华仔应助dahuihui采纳,获得10
2秒前
dingding完成签到,获得积分10
2秒前
活泼红牛完成签到,获得积分10
2秒前
夜休2024发布了新的文献求助10
2秒前
追寻紫安完成签到,获得积分10
3秒前
miemiemie94发布了新的文献求助10
3秒前
科研通AI6.1应助a达采纳,获得10
3秒前
icyeloise完成签到,获得积分10
4秒前
XPF完成签到,获得积分10
4秒前
222123完成签到,获得积分10
4秒前
清风伴夜亭完成签到,获得积分10
4秒前
5秒前
5秒前
绊宸完成签到,获得积分10
6秒前
阿湫完成签到,获得积分10
6秒前
简单的秋烟完成签到,获得积分10
6秒前
gbx完成签到,获得积分10
7秒前
cysb完成签到,获得积分10
7秒前
Asteria发布了新的文献求助10
8秒前
旭的发布了新的文献求助10
8秒前
贪玩丑完成签到,获得积分10
8秒前
梦鱼完成签到,获得积分10
8秒前
zzz完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
8秒前
端庄的小蝴蝶完成签到,获得积分10
9秒前
明理的机器猫完成签到,获得积分10
9秒前
993494543完成签到,获得积分10
9秒前
9秒前
Youdge发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6384556
求助须知:如何正确求助?哪些是违规求助? 8197523
关于积分的说明 17335979
捐赠科研通 5438136
什么是DOI,文献DOI怎么找? 2876049
邀请新用户注册赠送积分活动 1852544
关于科研通互助平台的介绍 1696978