某些医用材料γ射线积累因子的计算

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2022-09-01 DOI:10.1680/jemmr.22.00051

Y. Y. Çelen, M. Sarihan, G. Almisned, H. Tekin, I. Ekmekci

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引用次数: 4

摘要

近年来，人们发现了具有电离辐射防护性能的新型材料。重要的概念包括继续使用X射线进行诊断和治疗，特别是在辐射能量范围内，以及计算这些材料的辐射衰减特性、累积因子和衰减系数。辐射屏蔽由线性衰减系数（LAC，cm−1）、当量原子序数（Zeq）、暴露累积因子（EBF）和暴露吸收累积因子（EABF）等参数表征。放射治疗通常用于癌症的诊断和治疗，并在放射治疗过程中准确计算吸收剂量，这是最受欢迎的癌症治疗方法之一。它依赖于对给予患者的辐射束及其与吸收环境的相互作用的精确建模。在本研究中，研究了与人体组织相关的水、脂肪和骨骼的屏蔽特性。使用Phy-X/PSD软件，测定了当量原子序数（Zeq）、暴露累积因子（EBF）和能量吸收累积因子（EABF）。

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Calculation of gamma-ray buildup factors for some medical materials

In recent years, novel materials with protective qualities against ionizing radiation have been discovered. Important concepts include the continued use of X-rays for diagnosis and treatment, particularly in the radiological energy range, as well as the calculation of the radiation attenuation properties of such materials, the build-up factor, and the attenuation coefficients. Radiation shielding is characterized by parameters such as linear attenuation coefficient (LAC, cm−1),.equivalent atomic number (Zeq), exposure buildup factors (EBF) and exposure absorption buildup factors (EABF). Radiation is often employed in the diagnosis and treatment of cancer and accurately calculating the absorbed dosage during radiation treatment, which is one of the most popular cancer treatments. It relies on accurate modeling of the radiation beams administered to the patient and their interaction with the environment in which they are absorbed. In this research, the shielding characteristics of water, fat, and bone related to human tissue are investigated. Using Phy-X/PSD software, the equivalent atomic number (Zeq), exposure buildup factor (EBF), and energy absorption buildup factor (EABF) were determined.

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

期刊介绍： Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.