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Proceedings Paper

Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment
Author(s): Kai Mei; Felix K. Kopp; Andreas Fehringer; Franz Pfeiffer; Ernst J. Rummeny; Jan S. Kirschke; Peter B. Noël; Thomas Baum
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Paper 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.

Paper Details

Date Published: 9 March 2017
PDF: 4 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013244 (9 March 2017); doi: 10.1117/12.2254290
Show Author Affiliations
Kai Mei, Technische Univ. München (Germany)
Felix K. Kopp, Technische Univ. München (Germany)
Andreas Fehringer, Technische Univ. München (Germany)
Franz Pfeiffer, Technische Univ. München (Germany)
Ernst J. Rummeny, Technische Univ. München (Germany)
Jan S. Kirschke, Technische Univ. München (Germany)
Peter B. Noël, Technische Univ. München (Germany)
Thomas Baum, Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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