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Computation and parameterization of normalized glandular dose using Geant4 被引量:1

Computation and parameterization of normalized glandular dose using Geant4
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摘要 The average absorbed dose in glandular tissue is the most appropriate parameter for the assessment of the radiation-induced risk during breast imaging. The aims of this work concern:(1) the investigation of the variation effect of any related update to photon cross-section data-bases on the computation of the normalized glandular dose(Dg N) for mammography quality control tests and(2) the proposition of a parameterization method leading to provide Dg N values function of the breast thickness(T) and the particle energy(E) instead of E alone, as normally known. We analyzed the change effect of the photon cross-section data-bases on the computation of Dg N. Those coefficients, generated using the Geant4 Monte Carlo toolkit, were studied over a range of compressed breast thickness of 2–8 cm for monoenergetic(1–120 ke V by 1 ke V intervals) and polyenergetic(23–35 k Vp by 2 k Vp intervals) X-ray beams. Moreover, breast tissue composition ranging from about0% glandular(about 100% adipose) to 100% glandular(0% adipose) was also covered. The successful parameterization of Dg N look-up table function of the breast thickness and energy, will compact its analytical form without loss of accuracy. All parameterization fits resulted in r2 values of 0.999 or better. The average absorbed dose in glandular tissue is the most appropriate parameter for the assessment of the radiation-induced risk during breast imaging. The aims of this work concern:(1) the investigation of the variation effect of any related update to photon cross-section data-bases on the computation of the normalized glandular dose(Dg N) for mammography quality control tests and(2) the proposition of a parameterization method leading to provide Dg N values function of the breast thickness(T) and the particle energy(E) instead of E alone, as normally known. We analyzed the change effect of the photon cross-section data-bases on the computation of Dg N. Those coefficients, generated using the Geant4 Monte Carlo toolkit, were studied over a range of compressed breast thickness of 2–8 cm for monoenergetic(1–120 ke V by 1 ke V intervals) and polyenergetic(23–35 k Vp by 2 k Vp intervals) X-ray beams. Moreover, breast tissue composition ranging from about0% glandular(about 100% adipose) to 100% glandular(0% adipose) was also covered. The successful parameterization of Dg N look-up table function of the breast thickness and energy, will compact its analytical form without loss of accuracy. All parameterization fits resulted in r2 values of 0.999 or better.
出处 《Nuclear Science and Techniques》 SCIE CAS CSCD 2015年第3期51-56,共6页 核技术(英文)
基金 Supported by the National Plan for Science,Technology and Innovation(MAARIFAH) King Abdulaziz City for Science and Technology,Kingdom of Saudi Arabia(No.1827)
关键词 GEANT4 剂量计算 吸收剂量 参数化 归一化 腺体 质量控制 X线摄影 Monte Carlo simulation,Geant4,Normalized glandular dose,Parameterization
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