Noise properties of iterative reconstruction techniques in low-dose CT scans

Synho Do; Mannudeep K. Kalra; Zhuangli Liang; W. Clem. Karl; Thomas J. Brady; Homer Pien

doi:10.1117/12.811597

12 March 2009 Noise properties of iterative reconstruction techniques in low-dose CT scans

Synho Do, Mannudeep K. Kalra, Zhuangli Liang, W. Clem. Karl, Thomas J. Brady, Homer Pien

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.

Citation Download Citation

Synho Do, Mannudeep K. Kalra, Zhuangli Liang, W. Clem. Karl, Thomas J. Brady, and 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); https://doi.org/10.1117/12.811597

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