New concept for detail sensitivity monitoring in industrial computed tomography - the EURAMET Project SensMonCT
New concept for detail sensitivity monitoring in industrial computed tomography - the EURAMET Project SensMonCT
Digital X-Ray Imaging and Computed Tomography (CT) are applied in industry for flaw detection, flaw evaluation and dimensional measurement. This requires correct experimental system settings for sufficient visibility and detectability of flaws and structure elements. A new metric, the Detail Detection Sensitivity (DDS), is introduced. A related standard draft (WK84836-24) has been submitted to the ASTM E07 committee. The ASTM guide E 1441 [1] describes three essential functions for the characterisation of industrial CT (iCT) systems. These are the Contrast Discrimination Function (CDF), the Modulation Transfer Function (MTF), and the Contrast Detail Diagram (CDD). The related procedures and formulas for the determination of these functions and the DDS will be discussed, based on measurements of newly developed disk IQIs with holes of different diameters with iCT systems and by modelling. Currently, the DDS of iCT systems is evaluated by human operators which is unreliable and costly. Therefore, within the EURAMET project “SensMonCT”, new disk IQIs and traceable automated measurement and monitoring methods will be developed as well as procedures to evaluate the DDS of iCT systems and its standardisation.
Ewert, Uwe
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Roth, Holger
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Burkhard, Simon
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Gutekunst, Josephine
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Korpelainen, Virpi
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Obaton, Anne-Françoise
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Neuschaefer-Rube, Ulrich
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Blumensath, Thomas
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Katic, Marko
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1 August 2025
Ewert, Uwe
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Roth, Holger
2dc3a18e-34eb-40d7-a0dc-4ebc6ccd251d
Burkhard, Simon
83152ef8-7fd9-49ba-8ff7-9128b924c12d
Gutekunst, Josephine
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Korpelainen, Virpi
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Obaton, Anne-Françoise
d90af0b5-ceea-4c3f-9368-717a5e3b32ee
Neuschaefer-Rube, Ulrich
6f4a132f-3277-4e37-8d14-b85894a7c99d
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Katic, Marko
00056309-140b-410a-ba9a-a924bf89b69b
Ewert, Uwe, Roth, Holger, Burkhard, Simon, Gutekunst, Josephine, Korpelainen, Virpi, Obaton, Anne-Françoise, Neuschaefer-Rube, Ulrich, Blumensath, Thomas and Katic, Marko
(2025)
New concept for detail sensitivity monitoring in industrial computed tomography - the EURAMET Project SensMonCT.
e-Journal of Nondestructive Testing, 30 (8).
(doi:10.58286/31446).
Abstract
Digital X-Ray Imaging and Computed Tomography (CT) are applied in industry for flaw detection, flaw evaluation and dimensional measurement. This requires correct experimental system settings for sufficient visibility and detectability of flaws and structure elements. A new metric, the Detail Detection Sensitivity (DDS), is introduced. A related standard draft (WK84836-24) has been submitted to the ASTM E07 committee. The ASTM guide E 1441 [1] describes three essential functions for the characterisation of industrial CT (iCT) systems. These are the Contrast Discrimination Function (CDF), the Modulation Transfer Function (MTF), and the Contrast Detail Diagram (CDD). The related procedures and formulas for the determination of these functions and the DDS will be discussed, based on measurements of newly developed disk IQIs with holes of different diameters with iCT systems and by modelling. Currently, the DDS of iCT systems is evaluated by human operators which is unreliable and costly. Therefore, within the EURAMET project “SensMonCT”, new disk IQIs and traceable automated measurement and monitoring methods will be developed as well as procedures to evaluate the DDS of iCT systems and its standardisation.
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DIR2025-FullPaper-U_Ewert-WE2B1
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Published date: 1 August 2025
Venue - Dates:
10th International Symposium on Digital Industrial Radiology and Computed Tomography, , Paris, France, 2025-07-01 - 2025-07-03
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Local EPrints ID: 503762
URI: http://eprints.soton.ac.uk/id/eprint/503762
PURE UUID: 345a369f-ecd2-4cc6-bf28-2efe07fbcad8
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Date deposited: 12 Aug 2025 17:10
Last modified: 22 Aug 2025 02:01
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Author:
Uwe Ewert
Author:
Holger Roth
Author:
Simon Burkhard
Author:
Josephine Gutekunst
Author:
Virpi Korpelainen
Author:
Anne-Françoise Obaton
Author:
Ulrich Neuschaefer-Rube
Author:
Marko Katic
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