Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: May 2009
• Note: not peer reviewed, will appear
• Location: Wels, Austria
• Lecturer: Michael Reiter
• Booktitle: International Conference on Quality Control by Artificial Vision
• Conference date: 27. May 2009 – 29. May 2009
• Keywords: Computed tomography, CT simulation, Industrial X-Ray Imaging

Abstract

This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.

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BibTeX

@inproceedings{Reiter_2009_IXIA,
  title =      "Improvement of X-Ray image acquisition using a GPU based
               3DCT simulation tool",
  author =     "Michael Reiter and Muhammad Muddassir Malik and Christoph
               Heinzl and Dietmar Salaberger and Eduard Gr\"{o}ller and
               Hubert Lettenbauer and Johann Kastner",
  year =       "2009",
  abstract =   "This paper presents a simulation tool for industrial X-Ray
               computed tomography (CT) systems which is able to predict
               the results of real measurements. Such a prediction helps
               the technician in measurement technology to minimize
               artefacts by using optimal measurement parameters and
               therefore it helps to get more accurate results. The
               presented simulation software offers an implementation for
               CPU’s and GPU’s. The performance difference between
               these implementa-tions is shown, for a specific test part.
               Furthermore a parameter variation has been carried out, to
               illustrate the influence of the acquisition settings. We use
               a multi-image view tool to compare and evaluate the acquired
               dataset series which contains CT data gained with different
               X-Ray source voltages and a different number of projections.",
  month =      may,
  note =       "not peer reviewed, will appear",
  location =   "Wels, Austria",
  booktitle =  "International Conference on Quality Control by Artificial
               Vision",
  keywords =   "Computed tomography, CT simulation, Industrial X-Ray Imaging",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/",
}