Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11930
Title: Modeling of radiation dose of human head during CT scanning using neural networks
Authors: Radulović, Jasna
Mijailovic, Natasa
Rankovic, Vesna
Trajanovic, Miroslav
Filipovic, Nenad
Journal: 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
Issue Date: 28-Dec-2015
Abstract: © 2015 IEEE. In this study the authors present the method for determination of exposure dose on human head during computer tomography (CT) scanning procedure. The method is based on the use of the feed-forward neural network (FFNN) model to predict the exposure dose on human head. The neural network with Levenberg-Marquardt learning is constructed. The training data are obtained using the Monte Carlo method simulation. The simulation is performed by generating random numbers for determination of photon direction and for quantification of interaction between X-ray photon and head tissue. Spectra of photon energy is used for 3DCT scanner, X-ray tube Model XRS-125-7K-P. The FFNN predicted values are in accordance with the values obtained by the simulation with correlation coefficient around 0.99.
URI: https://scidar.kg.ac.rs/handle/123456789/11930
Type: Conference Paper
DOI: 10.1109/BIBE.2015.7367722
SCOPUS: 84962910932
Appears in Collections:Faculty of Engineering, Kragujevac
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