Data fusion in neutron and X-ray computed tomography

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 provid...

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Bibliographic Details
Published in:Journal of applied physics 2014-10, Vol.116 (16)
Main Authors: Schrapp, Michael J., Goldammer, Matthias, Schulz, Michael, Issani, Siraj, Bhamidipati, Suryanarayana, Böni, Peter
Format: Article
Language:English
Subjects:
ALUMINIUM
Aluminum
Applied physics
CARBON FIBERS
Computation
Computed tomography
COMPUTERIZED TOMOGRAPHY
CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Data integration
Destructive testing
FASTENERS
Image quality
Image reconstruction
INSPECTION
Medical imaging
Multisensor fusion
NEUTRONS
NONDESTRUCTIVE TESTING
PLATES
STEELS
X RADIATION
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Summary: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.
ISSN:0021-8979
1089-7550
DOI:10.1063/1.4900515