Influence of metal segmentation on the quality of metal artifact reduction methods

M. Stille, B. Kratz, J. Müller, N. Maaß, I. Schasiepen, M. Elter, I. Weyers, T. M. Buzug


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.
Original languageEnglish
Title of host publicationMedical Imaging 2013: Physics of Medical Imaging
EditorsChristoph Hoeschen, Bruce R. Whiting, Robert M. Nishikawa
Number of pages6
Publication date06.03.2013
Pages8668 - 8668 - 6
ISBN (Print)9780819494429
Publication statusPublished - 06.03.2013
EventImage Processing, SPIE Medical Imaging 2013
- Lake Buena Vista (Orlando Area), United States
Duration: 09.02.201314.02.2013


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