9 March 2017 Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Mei, Felix K. Kopp, Andreas Fehringer, Franz Pfeiffer, Ernst J. Rummeny, Jan S. Kirschke, Peter B. Noël, Thomas Baum, "Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013244 (9 March 2017); doi: 10.1117/12.2254290; https://doi.org/10.1117/12.2254290
PROCEEDINGS
4 PAGES


SHARE
Back to Top