基于局部特征法和骨骼动画的剂量评估方法

Lun-xiu Cao, Nan Chao, Yong-kuo Liu, Zhi-tao Chen
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引用次数: 0

摘要

灵活准确地估计人体关键器官吸收的剂量,对保障和提高工人的辐射安全具有重要意义。不同器官和组织的吸收剂量受到它们在辐射场中的位置和身体的方向的影响。提出了一种考虑核设施退役过程中职业工人工作动力学和器官水平剂量的骨骼动态局部特征法(SALMOC)剂量评估方法。该方法将骨骼动画技术(SA)的逼真性与局部特征法(LMOC)的灵活性相结合。为了考虑工作姿势,通过骨骼动画控制不同工作姿势的变化,然后根据变化的人体模型生成某一姿势的体素模型。最后,使用LMOC进行剂量评估。提出的SALMOC方法不仅考虑了核设施退役过程中不同的工作姿势,而且考虑了人体模型的遮挡和散射效应,实现了准确的器官水平剂量评估。通过与蒙特卡罗法和点核法在两个不同器官上的计算结果进行比较,验证了该方法的有效性。结果表明,该方法能够生成不规则器官的体素模型,且与蒙特卡罗方法的一致性优于点核方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Dose Assessment Method Based on the Local Method of Characteristics and Skeletal Animation
Flexible and accurate estimation of dose absorbed by critical human organs is important to ensure and improve workers’ radiation safety. Absorbed doses for different organs and tissues are affected by their positions and the orientation of the body in the radiation field. This paper presents a skeletal animated local method of characteristic (SALMOC) dose assessment method that considers the working dynamics and organ-level dose for occupational workers during nuclear facility decommissioning. The proposed method combines the verisimilitude of skeletal animation technology (SA) with the flexibility of the local method of characteristics (LMOC). To account for the working posture, the change in different working postures are controlled by skeletal animation, and then the voxel model in a certain pose is generated according to the changed human model. Finally, the LMOC is used to perform the dose assessment. The proposed SALMOC method not only accounts for different working postures during the decommissioning of nuclear facilities but also considers the occlusion and scattering effect of the human model to achieve accurate organ-level dose assessment. The effectiveness of the proposed method is verified by comparing the results with those derived from the Monte-Carlo method and Point-Kernel method evaluated on two different organs. The result shows that the proposed method can generate voxel models for irregular organs, and the tests show better consistency with the Monte-Carlo method compared with the Point-Kernel method.
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