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Proceedings Paper

Influence of metal segmentation on the quality of metal artifact reduction methods
Author(s): Maik Stille; Bärbel Kratz; Jan Müller; Nicole Maass; Ingo Schasiepen; Matthias Elter; Imke Weyers; Thorsten M. Buzug
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Paper Abstract

In computed tomography, star shape artifacts are introduced by metal objects, which are inside a patient's body. The quality of the reconstructed image can be enhanced by applying a metal artifact reduction method. Unfortunately, a method that removes all such artifacts in order to make the images valuable for medical diagnosis remains to be found. In this study, the influence of metal segmentation is investigated. A thresholding technique, which is the state of the art in the field, is compared with a manual segmentation. Results indicate that a more accurate segmentation can lead to a preservation of important anatomical details, which are of high value for medical diagnosis.

Paper Details

Date Published: 6 March 2013
PDF: 6 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86683C (6 March 2013); doi: 10.1117/12.2006810
Show Author Affiliations
Maik Stille, Univ. of Lübeck (Germany)
Bärbel Kratz, Univ. of Lübeck (Germany)
Jan Müller, Univ. of Lübeck (Germany)
Nicole Maass, Siemens AG (Germany)
Ingo Schasiepen, Siemens AG (Germany)
Matthias Elter, Siemens AG (Germany)
Imke Weyers, Univ. of Lübeck (Germany)
Thorsten M. Buzug, Univ. of Lübeck (Germany)


Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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