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Proceedings Paper

Clinical low dose CT image reconstruction using high-order total variation techniques
Author(s): Synho Do; W. Clem Karl; Mannudeep K. Kalra; Thomas J. Brady; Homer Pien
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Paper Abstract

Total variation (TV) based iterative image reconstruction has been shown to possess desirable noise suppression and edge preservation characteristics. However, such approaches also produce "staircase effects" where intensity ramps are discretized into steps, resulting in images which appear blocky or patchy. In this paper, we present an improved regularization technique by incorporating higher-order derivatives to reduce staircase artifacts without sacrificing edge sharpness. In this preliminary investigation we demonstrate our approach using both phantom and clinical images acquired at 25% of conventional radiation dosage (i.e., 75% dose reduction).

Paper Details

Date Published: 23 March 2010
PDF: 8 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76225D (23 March 2010); doi: 10.1117/12.844307
Show Author Affiliations
Synho Do, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
W. Clem Karl, Boston Univ. (United States)
Mannudeep K. Kalra, Massachusetts General Hospital (United States)
Harvard Medical School (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. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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