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Proceedings Paper

Parallel image reconstruction for 3D positron emission tomography from incomplete 2D projection data
Author(s): Thomas Michael Guerrero; Anthony R. Ricci; Magnus Dahlbom; Simon R. Cherry; Edward T. Hoffman
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Paper Abstract

The problem of excessive computational time in 3D Positron Emission Tomography (3D PET) reconstruction is defined, and we present an approach for solving this problem through the construction of an inexpensive parallel processing system and the adoption of the FAVOR algorithm. Currently, the 3D reconstruction of the 610 images of a total body procedure would require 80 hours and the 3D reconstruction of the 620 images of a dynamic study would require 110 hours. An inexpensive parallel processing system for 3D PET reconstruction is constructed from the integration of board level products from multiple vendors. The system achieves its computational performance through the use of 6U VME four i860 processor boards, the processor boards from five manufacturers are discussed from our perspective. The new 3D PET reconstruction algorithm FAVOR, FAst VOlume Reconstructor, that promises a substantial speed improvement is adopted. Preliminary results from parallelizing FAVOR are utilized in formulating architectural improvements for this problem. In summary, we are addressing the problem of excessive computational time in 3D PET image reconstruction, through the construction of an inexpensive parallel processing system and the parallelization of a 3D reconstruction algorithm that uses the incomplete data set that is produced by current PET systems.

Paper Details

Date Published: 29 July 1993
PDF: 9 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148711
Show Author Affiliations
Thomas Michael Guerrero, The Crump Institute of Biological Imaging and UCLA School of Medicine (United States)
Anthony R. Ricci, The Crump Institute of Biological Imaging and UCLA School of Medicine (United States)
Magnus Dahlbom, The Crump Institute of Biological Imaging and UCLA School of Medicine (United States)
Simon R. Cherry, The Crump Institute of Biological Imaging and UCLA School of Medicine (United States)
Edward T. Hoffman, The Crump Institute of Biological Imaging and UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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