Reference dosimetry for MRI-Linacs: an addendum to the 2020 IPEM code of practice for high-energy photon therapy dosimetry.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Ilias Billas, Geoff J Budgell, Ben George, Russell A S Thomas, Simon Duane, David J Eaton
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引用次数: 0

Abstract

The 2020 Institute of Physics and Engineering in Medicine code of practice (COP) for megavoltage dosimetry (Eaton et al 2020, Phys. Med. Biol. 65(19): 195006) provides standardised and practical methods for measurement of absorbed dose to water, linked to calibration by the National Physical Laboratory. This report extends the use of that COP to MRI-Linacs through the addition of two correction factors: (1) to account for the influence of the magnetic field on the absorbed dose and model-specific chamber response; and (2) to account for differences in chamber response in the beam spectrum of the MRI-Linac and the Linac where the cross-calibration is performed. Guidance is provided on practical aspects of chamber calibration and dose measurement in MRI-Linac beams, including the use of liquid water, consistent chamber orientation and corrections for other influence quantities. Using this approach uncertainties are similar to other applications of the COP.

2020 年物理与工程医学研究所巨电压剂量测定实践准则(COP)(Eaton 等,2020 年,Phys. Med.65(19):195006)提供了测量水吸收剂量的标准化实用方法,并与国家物理实验室的校准联系在一起。本报告通过增加两个校正因子,将该 COP 的使用扩展到 MRI-Linacs 上:(1) 考虑到磁场对吸收剂量和特定型号腔室响应的影响;(2) 考虑到核磁共振成像-直子加速器和进行交叉校准的直子加速器的束谱中腔室响应的差异。就 MRI-Linac 射束中的腔室校准和剂量测量的实际方面提供了指导,包括液态水的使用、一致的腔室方向和其他影响量的校正。使用这种方法的不确定性与 COP 的其他应用类似。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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