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Title: Artifact reduction in industrial computed tomography via data fusion

Abstract

As the most stressed part of a gas turbine the first row of turbine blades is not only a challenge for the materials used. Also the testing of these parts have to meet the highest standards. Computed tomography (CT) as the technique which could reveal the most details also provides the biggest challenges [1]: A full penetration of large sized turbine blades is often only possible at high X-ray voltages causing disproportional high costs. A reduction of the X-ray voltage is able to reduce these arising costs but yields non penetration artifacts in the reconstructed CT image. In most instances, these artifacts manifests itself as blurred and smeared regions at concave edges due to a reduced signal to noise ratio. In order to complement the missing information and to increase the overall image quality of our reconstruction, we use further imaging modalities such as a 3-D Scanner and ultrasonic imaging. A 3-D scanner is easy and cost effective to implement and is able to acquire all relevant data simultaneously with the CT projections. If, however, the interior structure is of supplemental interest, an ultrasonic imaging method is additionally used. We consider this data as a priori knowledge to employ themmore » in an iterative reconstruction. To do so, standard iterative reconstruction methods are modified to incorporate the a priori data in a regularization approach in combination with minimizing the total variation of our image. Applying this procedure on turbine blades, we are able to reduce the apparent artifacts almost completely.« less

Authors:
; ;  [1]
  1. Siemens AG, Corporate Technology, Otto-Hahn-Ring 6, 81739 Munich (Germany)
Publication Date:
OSTI Identifier:
22263786
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 1581; Journal Issue: 1; Conference: 40. annual review of progress in quantitative nondestructive evaluation, Baltimore, MD (United States), 21-26 Jul 2013, 10. international conference on Barkhausen noise and micromagnetic testing, Baltimore, MD (United States), 21-26 Jul 2013; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CAT SCANNING; ELECTRIC POTENTIAL; GAS TURBINES; ITERATIVE METHODS; SIGNAL-TO-NOISE RATIO; STRESSES; TESTING; TURBINE BLADES; X RADIATION

Citation Formats

Schrapp, Michael, Goldammer, Matthias, and Stephan, Jürgen. Artifact reduction in industrial computed tomography via data fusion. United States: N. p., 2014. Web. doi:10.1063/1.4865064.
Schrapp, Michael, Goldammer, Matthias, & Stephan, Jürgen. Artifact reduction in industrial computed tomography via data fusion. United States. https://doi.org/10.1063/1.4865064
Schrapp, Michael, Goldammer, Matthias, and Stephan, Jürgen. 2014. "Artifact reduction in industrial computed tomography via data fusion". United States. https://doi.org/10.1063/1.4865064.
@article{osti_22263786,
title = {Artifact reduction in industrial computed tomography via data fusion},
author = {Schrapp, Michael and Goldammer, Matthias and Stephan, Jürgen},
abstractNote = {As the most stressed part of a gas turbine the first row of turbine blades is not only a challenge for the materials used. Also the testing of these parts have to meet the highest standards. Computed tomography (CT) as the technique which could reveal the most details also provides the biggest challenges [1]: A full penetration of large sized turbine blades is often only possible at high X-ray voltages causing disproportional high costs. A reduction of the X-ray voltage is able to reduce these arising costs but yields non penetration artifacts in the reconstructed CT image. In most instances, these artifacts manifests itself as blurred and smeared regions at concave edges due to a reduced signal to noise ratio. In order to complement the missing information and to increase the overall image quality of our reconstruction, we use further imaging modalities such as a 3-D Scanner and ultrasonic imaging. A 3-D scanner is easy and cost effective to implement and is able to acquire all relevant data simultaneously with the CT projections. If, however, the interior structure is of supplemental interest, an ultrasonic imaging method is additionally used. We consider this data as a priori knowledge to employ them in an iterative reconstruction. To do so, standard iterative reconstruction methods are modified to incorporate the a priori data in a regularization approach in combination with minimizing the total variation of our image. Applying this procedure on turbine blades, we are able to reduce the apparent artifacts almost completely.},
doi = {10.1063/1.4865064},
url = {https://www.osti.gov/biblio/22263786}, journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 1581,
place = {United States},
year = {Tue Feb 18 00:00:00 EST 2014},
month = {Tue Feb 18 00:00:00 EST 2014}
}