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Title: Characteristics of Muon Computed Tomography of Used Fuel Casks Using Algebraic Reconstruction

Abstract

Cosmic raymuons passing through matter lose energy from inelastic collisions with electrons and are deflected from nuclei due to multiple Coulomb scattering (MCS). The recent developments in position sensitive muon detectors that can measure incoming and outgoing trajectories of individual muons indicate that MCS could be an excellent candidate for spent nuclear fuel imaging. The main purpose of this paper is to evaluate tomographic scanning of spent nuclear fuel stored within vertical and horizontal dry storage casks. A quantitative analysis of the characteristics of images obtained with filtered back projection (FBP) and algebraic reconstruction techniques (ART) are presented herein, as such a comparison has not been carried out in the past. FBP is a fast tool to determine object boundaries. ART can include muon path models and prior knowledge that can improve resolution and reduce measurement time. The results demonstrate that missing fuel assemblies can be identified with more than 5 projections and that use of muon momentum significantly increases image resolution. It is expected that MCS can be used to successfully reconstruct the dry cask contents and allow identification of all described scenarios in hours. It is also expected that when total variation minimization and a non-local mean filtermore » are applied, ART may yield much better image quality than FBP.« less

Authors:
 [1]; ORCiD logo [2];  [3];  [3];  [4]
  1. University of Tennessee, Knoxville (UTK)
  2. ORNL
  3. Oregon State University, Corvallis
  4. The University of Tennessee, Knoxville
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1486925
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) - Atlanta, Georgia, United States of America - 10/21/2017 4:00:00 AM-10/28/2017 4:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Liu, Zhengzhi, Chatzidakis, Stylianos, Liao, Can, Yang, Haori, and Hayward, Jason. Characteristics of Muon Computed Tomography of Used Fuel Casks Using Algebraic Reconstruction. United States: N. p., 2017. Web. doi:10.1109/NSSMIC.2017.8532834.
Liu, Zhengzhi, Chatzidakis, Stylianos, Liao, Can, Yang, Haori, & Hayward, Jason. Characteristics of Muon Computed Tomography of Used Fuel Casks Using Algebraic Reconstruction. United States. https://doi.org/10.1109/NSSMIC.2017.8532834
Liu, Zhengzhi, Chatzidakis, Stylianos, Liao, Can, Yang, Haori, and Hayward, Jason. Sun . "Characteristics of Muon Computed Tomography of Used Fuel Casks Using Algebraic Reconstruction". United States. https://doi.org/10.1109/NSSMIC.2017.8532834. https://www.osti.gov/servlets/purl/1486925.
@article{osti_1486925,
title = {Characteristics of Muon Computed Tomography of Used Fuel Casks Using Algebraic Reconstruction},
author = {Liu, Zhengzhi and Chatzidakis, Stylianos and Liao, Can and Yang, Haori and Hayward, Jason},
abstractNote = {Cosmic raymuons passing through matter lose energy from inelastic collisions with electrons and are deflected from nuclei due to multiple Coulomb scattering (MCS). The recent developments in position sensitive muon detectors that can measure incoming and outgoing trajectories of individual muons indicate that MCS could be an excellent candidate for spent nuclear fuel imaging. The main purpose of this paper is to evaluate tomographic scanning of spent nuclear fuel stored within vertical and horizontal dry storage casks. A quantitative analysis of the characteristics of images obtained with filtered back projection (FBP) and algebraic reconstruction techniques (ART) are presented herein, as such a comparison has not been carried out in the past. FBP is a fast tool to determine object boundaries. ART can include muon path models and prior knowledge that can improve resolution and reduce measurement time. The results demonstrate that missing fuel assemblies can be identified with more than 5 projections and that use of muon momentum significantly increases image resolution. It is expected that MCS can be used to successfully reconstruct the dry cask contents and allow identification of all described scenarios in hours. It is also expected that when total variation minimization and a non-local mean filter are applied, ART may yield much better image quality than FBP.},
doi = {10.1109/NSSMIC.2017.8532834},
url = {https://www.osti.gov/biblio/1486925}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {10}
}

Conference:
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