EVALUATION OF A FULLY 3-D BPF METHOD FOR SMALL ANIMAL PET IMAGES ON MIMD ARCHITECTURES

A. Bevilacqua ()
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A. Bevilacqua: Department of Physics, University of Bologna and INFN Bologna, viale Berti Pichat, 6/2, 40127 Bologna, Italy

International Journal of Modern Physics C (IJMPC), 1999, vol. 10, issue 04, 723-739

Abstract: Positron Emission Tomography (PET) images can be reconstructed using Fourier transform methods. This paper describes the performance of a fully 3-D Backprojection-Then-Filter (BPF) algorithm on the Cray T3E machine and on a cluster of workstations. PET reconstruction of small animals is a class of problems characterized by poor counting statistics. The low-count nature of these studies necessitates 3-D reconstruction in order to improve the sensitivity of the PET system: by including axially oblique Lines Of Response (LORs), the sensitivity of the system can be significantly improved by the 3-D acquisition and reconstruction. The BPF method is widely used in clinical studies because of its speed and easy implementation. Moreover, the BPF method is suitable for on-time 3-D reconstruction as it does not need any sinogram or rearranged data. In order to investigate the possibility of on-line processing, we reconstruct a phantom using the data stored in the list-mode format by the data acquisition system. We show how the intrinsically parallel nature of the BPF method makes it suitable for on-line reconstruction on a MIMD system such as the Cray T3E. Lastly, we analyze the performance of this algorithm on a cluster of workstations.

Keywords: Backprojection; BPF; MIMD; Cluster of workstations; 3-D image reconstruction; PET; Parallel computing; Distributed computing (search for similar items in EconPapers)
Date: 1999
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DOI: 10.1142/S0129183199000541

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