12 March 2009 Noise properties of iterative reconstruction techniques in low-dose CT scans
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Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725829 (2009) https://doi.org/10.1117/12.811597
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
CT imaging is useful and ubiquitous. There is, however, a desire to reduce imaging artifacts, improve resolution, while reducing radiation. Iterative reconstruction algorithms have been proposed as one approach towards achieving these goals. In this paper we compare phantom images produced using commercial FBP-based reconstruction to three different iterative algorithms. We focus specifically on statistical characterizations of the noise, both at full radiation dose and at 50% dose. An iterative algorithm which segregates the image into two components (soft tissue and dense object), and imposes different constraints on these components, yielded better noise characteristics than ART, total variation, and FBP.
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Synho Do, Synho Do, Mannudeep K. Kalra, Mannudeep K. Kalra, Zhuangli Liang, Zhuangli Liang, W. Clem. Karl, W. Clem. Karl, Thomas J. Brady, Thomas J. Brady, Homer Pien, Homer Pien, } "Noise properties of iterative reconstruction techniques in low-dose CT scans", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725829 (12 March 2009); doi: 10.1117/12.811597; https://doi.org/10.1117/12.811597
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