Paper
23 March 2010 Clinical low dose CT image reconstruction using high-order total variation techniques
Synho Do, W. Clem Karl, Mannudeep K. Kalra, Thomas J. Brady, Homer Pien
Author Affiliations +
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).
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Synho Do, W. Clem Karl, Mannudeep K. Kalra, Thomas J. Brady, and Homer Pien "Clinical low dose CT image reconstruction using high-order total variation techniques", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76225D (23 March 2010); https://doi.org/10.1117/12.844307
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Systems modeling

Data modeling

Image restoration

Imaging systems

3D modeling

CT reconstruction

Image quality

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