Paper
19 March 2007 Implementation of a cone-beam backprojection algorithm on the cell broadband engine processor
Author Affiliations +
Abstract
Tomographic image reconstruction is computationally very demanding. In all cases the backprojection represents the performance bottleneck due to the high operational count and due to the high demand put on the memory subsystem. In the past, solving this problem has lead to the implementation of specific architectures, connecting Application Specific Integrated Circuits (ASICs) or Field Programmable Gate Arrays (FPGAs) to memory through dedicated high speed busses. More recently, there have also been attempt to use Graphic Processing Units (GPUs) to perform the backprojection step. Originally aimed at the gaming market, IBM, Toshiba and Sony have introduced the Cell Broadband Engine (CBE) processor, often considered as a multicomputer on a chip. Clocked at 3 GHz, the Cell allows for a theoretical performance of 192 GFlops and a peak data transfer rate over the internal bus of 200 GB/s. This performance indeed makes the Cell a very attractive architecture for implementing tomographic image reconstruction algorithms. In this study, we investigate the relative performance of a perspective backprojection algorithm when implemented on a standard PC and on the Cell processor. We compare these results to the performance achievable with FPGAs based boards and high end GPUs. The cone-beam backprojection performance was assessed by backprojecting a full circle scan of 512 projections of 1024x1024 pixels into a volume of size 512x512x512 voxels. It took 3.2 minutes on the PC (single CPU) and is as fast as 13.6 seconds on the Cell.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olivier Bockenbach, Michael Knaup, and Marc Kachelrieß "Implementation of a cone-beam backprojection algorithm on the cell broadband engine processor", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651056 (19 March 2007); https://doi.org/10.1117/12.709238
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Field programmable gate arrays

Reconstruction algorithms

Computing systems

Sensors

Image restoration

Mercury

Image processing

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