Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment
Mei K, Kopp FK, Fehringer A, Pfeiffer F, Rummeny EJ, Kirschke JS, Noel PB, Baum T (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: SPIE
Book Volume: 10132
Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Event location: Orlando, FL, USA
ISBN: 9781510607095
DOI: 10.1117/12.2254290
Abstract
The trabecular bone microstructure is a key to the early diagnosis and advanced therapy monitoring of osteoporosis. Regularly measuring bone microstructure with conventional multi-detector computer tomography (MDCT) would expose patients with a relatively high radiation dose. One possible solution to reduce exposure to patients is sampling fewer projection angles. This approach can be supported by advanced reconstruction algorithms, with their ability to achieve better image quality under reduced projection angles or high levels of noise. In this work, we investigated the performance of iterative reconstruction from sparse sampled projection data on trabecular bone microstructure in in-vivo MDCT scans of human spines. The computed MDCT images were evaluated by calculating bone microstructure parameters. We demonstrated that bone microstructure parameters were still computationally distinguishable when half or less of the radiation dose was employed.
Involved external institutions
Germany (DE)How to cite
APA:
Mei, K., Kopp, F.K., Fehringer, A., Pfeiffer, F., Rummeny, E.J., Kirschke, J.S.,... Baum, T. (2017). Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment. In Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Orlando, FL, USA: SPIE.
MLA:
Mei, Kai, et al. "Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment." Proceedings of the Medical Imaging 2017: Physics of Medical Imaging, Orlando, FL, USA Ed. Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr, SPIE, 2017.
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