Bai Ying, Wang Dali
Department of Computer Science and Engineering, Johnson C. Smith University, NC 28216, USA.
Department of Physics and Computer Science, Christopher Newport University, Newport News, VA 23606, USA.
World J Nucl Med. 2014 Jan;13(1):40-5. doi: 10.4103/1450-1147.138573.
Many techniques and research models on calculating and reducing the nuclear radiation dose on pediatric nuclear medicine procedure have been developed and reported in recent years. However, most those models either utilized simple shapes to present the organs or used more realistic models to estimate the nuclear dose applied on pediatric patients. The former are too simple to provide accurate estimation results, and the latter are too complicated to intensively involve complex calculations. In this study, a simple but practical model is developed to enable physicians to easily and quickly calculate and select the average optimal effective nuclear dose for the given age and body-size of the pediatric patients. This model is built based on one research result reported by Frederic Fahey, et al and it can be easily implemented in most common pediatric nuclear medicine procedures. This is the first research of using fuzzy inference system to calculate the optimal effective dose applied in the nuclear medicine for pediatric patients.
近年来,已经开发并报道了许多关于计算和减少儿科核医学程序中核辐射剂量的技术和研究模型。然而,大多数这些模型要么使用简单形状来呈现器官,要么使用更逼真的模型来估计应用于儿科患者的核剂量。前者过于简单,无法提供准确的估计结果,而后者过于复杂,难以密集地涉及复杂计算。在本研究中,开发了一种简单但实用的模型,使医生能够轻松快速地为给定年龄和体型的儿科患者计算并选择平均最佳有效核剂量。该模型基于弗雷德里克·费伊等人报道的一项研究结果构建,并且可以在大多数常见的儿科核医学程序中轻松实现。这是首次使用模糊推理系统来计算应用于儿科患者核医学中的最佳有效剂量的研究。