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Proceedings Paper

Noise properties of iterative reconstruction techniques in low-dose CT scans
Author(s): Synho Do; Mannudeep K. Kalra; Zhuangli Liang; W. Clem. Karl; Thomas J. Brady; Homer Pien
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Paper 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.

Paper Details

Date Published: 12 March 2009
PDF: 7 pages
Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725829 (12 March 2009); doi: 10.1117/12.811597
Show Author Affiliations
Synho Do, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Mannudeep K. Kalra, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Zhuangli Liang, Univ. of California, Los Angeles (United States)
W. Clem. Karl, Boston Univ. (United States)
Thomas J. Brady, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Homer Pien, Massachusetts General Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 7258:
Medical Imaging 2009: Physics of Medical Imaging
Ehsan Samei; Jiang Hsieh, Editor(s)

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