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Abstract: Positron Emission Tomography (PET) is a diagnostic technique used to study functionality of human organs. A maximum likelihood reconstruction algorithm for PET, introduced by Shepp and Vardi [32] and Lange and Carson [23], produces images that are statistically superior to other methods, but is an iterative method with high time complexity. Most efforts at parallelization have been for single instruction stream, multiple data stream (SIMD) parallel computers. This research extends the... (Update)
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BibTeX entry: (Update)
@misc{ olesen-parallel,
author = "Soeren Peter Olesen",
title = "Parallel Computation for Positron Emission Tomography with Reduced Processor
Communications",
url = "citeseer.ist.psu.edu/article/olesen96parallel.html" }
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