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Proceedings Paper

TV-regularized iterative image reconstruction on a mobile C-ARM CT
Author(s): Yongsheng Pan; Ross Whitaker; Arvi Cheryauka; Dave Ferguson
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Paper Abstract

3D computed tomography has been extensively studied and widely used in modern society. Although most manufacturers choose the filtered backprojection algorithm (FBP) for its accuracy and efficiency, iterative reconstruction methods have a significant potential to provide superior performance for incomplete, noisy projection data. However, iterative methods have a high computational cost, which hinders their practical use. Furthermore, regularization is usually required to reduce the effects of noise. In this paper, we analyze the use of the Simultaneous Algebraic Reconstruction Technique (SART) with total variation (TV) regularization. Additionally, graphics hardware is utilized to increase the speed of SART. NVIDIA's GPU and Compute Unified Device Architecture (CUDA) comprise the core of our computational platform. GPU implementation details, including ray-based forward projection and voxel-based backprojection are illustrated. Experimental results for high-resolution synthetic and real data are provided to demonstrate the accuracy and efficiency of the proposed framework.

Paper Details

Date Published: 22 March 2010
PDF: 12 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76222L (22 March 2010); doi: 10.1117/12.844398
Show Author Affiliations
Yongsheng Pan, The Univ. of Utah (United States)
Ross Whitaker, The Univ. of Utah (United States)
Arvi Cheryauka, GE Healthcare (United States)
Dave Ferguson, GE Healthcare (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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