High-speed Computation of the EM Algorithm for PET Image Reconstruction

Rajan, K and Patnaik, LM and Ramakrishna, J (1994) High-speed Computation of the EM Algorithm for PET Image Reconstruction. In: IEEE Transactions on Nuclear Science, 41 (5). pp. 1721-1728.

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Abstract

The PET image reconstruction based on the EM algorithm has several attractive advantages over the conventional convolution backprojection algorithms. However, two major drawbacks have impeded the routine use of the EM algorithm, namely, the long computational time due to slow convergence and the large memory required for the storage of the image, projection data and the probability matrix. Here, the authors attempt to solve these two problems by parallelizing the EM algorithm on a multiprocessor system. They have implemented an extended hypercube (EH) architecture for the high-speed computation of the EM algorithm using the commercially available fast floating point digital signal processor (DSP) chips as the processing elements (PEs). The authors discuss and compare the performance of the EM algorithm on a 386/387 machine, CD 4360 mainframe, and on the EH system. The results show that the computational speed performance of an EH(3,1) using DSP chips as PEs executing the EM image reconstruction algorithm is about 130 times better than that of the CD 4360 mainframe. The EH topology is expandable with more number of PEs.

Item Type:	Journal Article
Publication:	IEEE Transactions on Nuclear Science
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre:	Division of Physical & Mathematical Sciences > Physics
Date Deposited:	25 Aug 2008
Last Modified:	19 Sep 2010 04:27
URI:	http://eprints.iisc.ac.in/id/eprint/6821

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