SimCT is an in-house software tool and is only provided to established development partners (e.g. Carl Zeiss IMT).

Tools that perform numerical simulations of X-ray imaging like SimCT help users of X-ray imaging devices to get a better understanding for consequences of physical effects that are relevant for their application. Engineers and developers of X-ray devices use numerical simulations as essential tool during the design and prototyping phase of new imaging systems, and software developer can use virtually acquired data for testing reconstruction algorithms, artefact correction methods as well as any kind of image processing to improve or evaluate X-ray images. Besides that, SimCT provides procedures to optimise the image quality by automatically determining suitable scan parameters for a user-defined scan task to minimise influences of noise, image blur as well as artefacts. Summary of application areas:

  • Gain knowledge about XCT
    • attenuation, scattering and any kind of artefacts
    • geometrical effects
  • Optimisation of scan parameter
  • Correction of real scans
  • Simulation help to design new XCT devices
  • Generate virtual XCT data with known properties to develop and evaluate
    • image processing algorithms
    • reconstruction algorithms
  • Estimation of measurement uncertainty

[1] M. Reiter, S. Kunzmann, H. Lettenbauer, B. Chyba, M. Mantler, J. Kastner, SimCT - Modellierung und Simulation eines industriellen Röntgen 3D Computertomographie Systems, 2. Forschungsforum der österreichischen Fachhochschulen, Wels (AT) 26.3.-27.3 2008.
[2] M. Mantler, B. Chyba, M. Reiter, Monte Carlo Simulation of Projections in Computed Tomography, Denver X-ray Conference 2007, Denver (US) 30.7-3.8 2007.
[3] M. Reiter, S. Kunzmann, H. Lettenbauer, B.Chyba, M. Mantler, J. Kastner, Simulation eines industriellen 3D-Röntgen-Computertomographen zur verbesserten Geometriebestimmung, DACH-Tagung, St. Gallen (CH) 28.4.-30.4 2008.
[4] M. Reiter, H. Lettenbauer, J. Kastner, Simulation of an industrial x-ray cone beam computed-tomography system, IEEE Workshop on X-Ray Micro Imaging of Materials, Devices, and Organisms, Dresden, 2008
[5] M. Reiter, M.M. Malik, C. Heinzl, D. Salaberger, E. Gröller, H.Lettenbauer, J.Kastner, Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool, SPIE Quality Control by Artificial Vision Wels, AUSTRIA, May 27-29, 2009
[6] B. Chyba, Monte-Carlo Methoden zur Beschreibung der physikalischen Wechsel­wirkungen von Röntgenstrahlung mit Probe und Detektor in der Computertomographie, Dissertation 2009
[7] B. Chyba, M. Mantler, M. Reiter, Monte-Carlo Simulations for Evaluation of different influences on projections of computed tomography, Denver X-ray Conference 2009, Denver (US) 27.7-31.7 2009.
[8] M. Reiter, C. Heinzl, D. Salaberger, D. Weiss, J. Kastner, Study on parameter variation of an industrial computed tomography simulation tool concerning dimensional measurement deviations, European Conference for Non-destructive Testing Moscow, 2010
[9] M. Reiter, C. Heinzl, D. Salaberger, D. Weiss, C. Kuhn, J. Kastner, Simulative Parameteroptimierung für Metrologie an Multi-Materialbauteilen mit industrieller Röntgen Computertomografie, Fachtagung Industrielle Computertomografie, 2010, Wels, Austria
[10] M. Reiter, B. Harrer, D. Salaberger, C. Heinzl, C. Kuhn, J. Kastner:  Simulation aided study for optimising device parameters of an industrial X-ray computed tomography system for non-destructive testing and materials characterization. Symposium on Digital Industrial Radiology and Computed Tomography 2011, Berlin, Germany, 20-22.06.2011
[11] A. Amirkhanov, C. Heinzl, M. Reiter, J. Kastner, E. Gröller, Evaluation of Projection-Based Metal-Artifact Reduction for Multi-Material Components, Proc. of Conference on Industrial Computed Tomography (iCT 2012) 19.-20. September 2012, Wels, Austria
[12] C. Gusenbauer, M. Reiter, J. Kastner, G. Kloesch, Detection of Non-Metallic Inclusions in Steel by X-ray Computed Tomography and After Fatigue Testing, Proceedings of 11th European Conference on Non-Destructive Testing (ECNDT 2014), Prague, Czech Republic, 2014.
[13] M. Reiter, M. Erler, C. Kuhn, C. Gusenbauer, J. Kastner, SimCT: a simulations tool for X-ray imaging, Proceedings of Conference on Industrial Computed Tomography (iCT2016), Wels, Austria, 2016
[14] M. Reiter, J. Kastner - Investigation towards simulation-based determination of measurement uncertainties for X-ray computed tomography - Proceedings of 4th International Conference on Image Formation in X-Ray Computed Tomography, Bamberg, Germany, 2016
[15] M. Reiter, C. Gusenbauer, J. Kastner, G. Schmee, Distance measurements on inaccessible wires in plastic parts with X-ray computed tomography, 7th Conference on Industrial Computed Tomography (iCT2017), Leuven, Belgium, 2017
[16] Gusenbauer, C.; Reiter, M.; Salaberger, D. Kastner, J. Simulation-based optimization of nano-XCT scans for high-resolution applications Proceedings of the 8th Conference on Industrial Computed Tomography (iCT2018), 2018
[17] M. Reiter and C. Gusenbauer and R. Huemer, J. Kastner, At-line X-ray computed tomography of serial parts optimized by numerical simulations, Digital Industrial Radiology and Computed Tomography (DIR 2019), Fürth, Germany, 2019

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