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Title: Data fusion in neutron and X-ray computed tomography

Abstract

We present a fusion methodology between neutron and X-ray computed tomography (CT). On the one hand, the inspection by X-ray CT of a wide class of multimaterials in non-destructive testing applications suffers from limited information of object features. On the other hand, neutron imaging can provide complementary data in such a way that the combination of both data sets fully characterizes the object. In this contribution, a novel data fusion procedure, called Fusion Regularized Simultaneous Algebraic Reconstruction Technique, is developed where the X-ray reconstruction is modified to fulfill the available data from the imaging with neutrons. The experiments, which were obtained from an aluminum profile containing a steel screw, and attached carbon fiber plates demonstrate that the image quality in CT can be significantly improved when the proposed fusion method is used.

Authors:
 [1];  [1];  [2]; ;  [3];  [2]
  1. Siemens AG, Corporate Technology, Otto-Hahn-Ring 6, 81739 Munich (Germany)
  2. Physik Department E21, Technische Universität München, James-Franck-Strasse 1, 85747 Garching (Germany)
  3. Siemens AG, Corporate Technology, Bangalore (India)
Publication Date:
OSTI Identifier:
22308130
Resource Type:
Journal Article
Journal Name:
Journal of Applied Physics
Additional Journal Information:
Journal Volume: 116; Journal Issue: 16; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0021-8979
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; ALUMINIUM; CARBON FIBERS; COMPUTERIZED TOMOGRAPHY; FASTENERS; IMAGES; INSPECTION; NEUTRONS; NONDESTRUCTIVE TESTING; PLATES; STEELS; X RADIATION

Citation Formats

Schrapp, Michael J., Physik Department E21, Technische Universität München, James-Franck-Strasse 1, 85747 Garching, Goldammer, Matthias, Schulz, Michael, Heinz Maier-Leibnitz Zentrum, Issani, Siraj, Bhamidipati, Suryanarayana, and Böni, Peter. Data fusion in neutron and X-ray computed tomography. United States: N. p., 2014. Web. doi:10.1063/1.4900515.
Schrapp, Michael J., Physik Department E21, Technische Universität München, James-Franck-Strasse 1, 85747 Garching, Goldammer, Matthias, Schulz, Michael, Heinz Maier-Leibnitz Zentrum, Issani, Siraj, Bhamidipati, Suryanarayana, & Böni, Peter. Data fusion in neutron and X-ray computed tomography. United States. https://doi.org/10.1063/1.4900515
Schrapp, Michael J., Physik Department E21, Technische Universität München, James-Franck-Strasse 1, 85747 Garching, Goldammer, Matthias, Schulz, Michael, Heinz Maier-Leibnitz Zentrum, Issani, Siraj, Bhamidipati, Suryanarayana, and Böni, Peter. 2014. "Data fusion in neutron and X-ray computed tomography". United States. https://doi.org/10.1063/1.4900515.
@article{osti_22308130,
title = {Data fusion in neutron and X-ray computed tomography},
author = {Schrapp, Michael J. and Physik Department E21, Technische Universität München, James-Franck-Strasse 1, 85747 Garching and Goldammer, Matthias and Schulz, Michael and Heinz Maier-Leibnitz Zentrum and Issani, Siraj and Bhamidipati, Suryanarayana and Böni, Peter},
abstractNote = {We present a fusion methodology between neutron and X-ray computed tomography (CT). On the one hand, the inspection by X-ray CT of a wide class of multimaterials in non-destructive testing applications suffers from limited information of object features. On the other hand, neutron imaging can provide complementary data in such a way that the combination of both data sets fully characterizes the object. In this contribution, a novel data fusion procedure, called Fusion Regularized Simultaneous Algebraic Reconstruction Technique, is developed where the X-ray reconstruction is modified to fulfill the available data from the imaging with neutrons. The experiments, which were obtained from an aluminum profile containing a steel screw, and attached carbon fiber plates demonstrate that the image quality in CT can be significantly improved when the proposed fusion method is used.},
doi = {10.1063/1.4900515},
url = {https://www.osti.gov/biblio/22308130}, journal = {Journal of Applied Physics},
issn = {0021-8979},
number = 16,
volume = 116,
place = {United States},
year = {Tue Oct 28 00:00:00 EDT 2014},
month = {Tue Oct 28 00:00:00 EDT 2014}
}