Home // FUTURE COMPUTING 2014, The Sixth International Conference on Future Computational Technologies and Applications // View article
Authors:
Ying Bai
Dali Wang
Keywords: fuzzy inference system; reduction of nuclear radiation dose; pediatric nuclear medicine; optimized nuclear radiation dose; nuclear medicine
Abstract:
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 and critical organs for the given age and weight of the pediatric patients. This model is built based on one research result reported by a group of researchers, 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
Pages: 21 to 25
Copyright: Copyright (c) IARIA, 2014
Publication date: May 25, 2014
Published in: conference
ISSN: 2308-3735
ISBN: 978-1-61208-339-1
Location: Venice, Italy
Dates: from May 25, 2014 to May 29, 2014