Edge-Preserving Bilateral Filtering for Images Containing Dense Objects in CT
Yang Q, Maier A, Maass N, Hornegger J (2013)
Publication Type: Conference contribution, Original article
Publication year: 2013
Journal
Edited Volumes: IEEE Nuclear Science Symposium Conference Record
Conference Proceedings Title: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)
Event location: Seoul, South Korea
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Yang13-EBF.pdf
DOI: 10.1109/NSSMIC.2013.6829358
Abstract
In computed tomography (CT), dense objects such as bone, metal implants, and contrast medium, induce cupping and streaking artifacts. To reduce those artifacts, various approaches have a common strategy, which is segmenting datasets into different materials and correcting them separately according to their own physical characteristics. However, in most cases, the severe artifacts hinder the primary segmentation which results in low efficiency of artifact reduction approaches. When taking noise under consideration, the accuracy of segmentation gets even worse. In this work, we applied an edge preserving step based on bilateral filtering between reconstruction and segmentation. A traditional bilateral filter performs noise reduction, and a bilateral edge detector exploits the structural edge information. By incorporating the edge information with noise reduced reconstruction images, a more sophisticated segmentation approach is proposed. Quantitative evaluations of noise reduction and segmentation performance are carried out using simulated and real CT datasets. The results show that our approach can reduce streak artifacts at a primary level, which significantly improves segmentation. © 2013 IEEE.
Authors with CRIS profile
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Joachim Hornegger
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Involved external institutions
Germany (DE)How to cite
APA:
Yang, Q., Maier, A., Maass, N., & Hornegger, J. (2013). Edge-Preserving Bilateral Filtering for Images Containing Dense Objects in CT. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). Seoul, South Korea.
MLA:
Yang, Qiao, et al. "Edge-Preserving Bilateral Filtering for Images Containing Dense Objects in CT." Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2013, Seoul, South Korea 2013.
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