Paper
13 March 2009 Feasibility of GPU-assisted iterative image reconstruction for mobile C-arm CT
Yongsheng Pan, Ross Whitaker, Arvi Cheryauka, Dave Ferguson
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72585J (2009) https://doi.org/10.1117/12.812162
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Computed tomography (CT) has been extensively studied and widely used for a variety of medical applications. The reconstruction of 3D images from a projection series is an important aspect of the modality. Reconstruction by filtered backprojection (FBP) is used by most manufacturers because of speed, ease of implementation, and relatively few parameters. Iterative reconstruction methods have a significant potential to provide superior performance with incomplete or noisy data, or with less than ideal geometries, such as cone-beam systems. However, iterative methods have a high computational cost, and regularization is usually required to reduce the effects of noise. The simultaneous algebraic reconstruction technique (SART) is studied in this paper, where the Feldkamp method (FDK) for filtered back projection is used as an initialization for iterative SART. Additionally, graphics hardware is utilized to increase the speed of SART implementation. Nvidia processors and compute unified device architecture (CUDA) form the platform for GPU computation. Total variation (TV) minimization is applied for the regularization of SART results. Preliminary results of SART on 3-D Shepp-Logan phantom using using TV regularization and GPU computation are presented in this paper. Potential improvements of the proposed framework are also discussed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongsheng Pan, Ross Whitaker, Arvi Cheryauka, and Dave Ferguson "Feasibility of GPU-assisted iterative image reconstruction for mobile C-arm CT", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72585J (13 March 2009); https://doi.org/10.1117/12.812162
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Cited by 14 scholarly publications and 1 patent.
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KEYWORDS
Reconstruction algorithms

Computed tomography

CT reconstruction

3D image reconstruction

Fluctuations and noise

Fourier transforms

Image restoration

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