6 March 2013 Influence of metal segmentation on the quality of metal artifact reduction methods
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Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86683C (2013) https://doi.org/10.1117/12.2006810
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maik Stille, Maik Stille, Bärbel Kratz, Bärbel Kratz, Jan Müller, Jan Müller, Nicole Maass, Nicole Maass, Ingo Schasiepen, Ingo Schasiepen, Matthias Elter, Matthias Elter, Imke Weyers, Imke Weyers, Thorsten M. Buzug, Thorsten M. Buzug, } "Influence of metal segmentation on the quality of metal artifact reduction methods", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86683C (6 March 2013); doi: 10.1117/12.2006810; https://doi.org/10.1117/12.2006810
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