Maximum likelihood SPECT in clinical computation times usingmesh-connected parallel computers
McCarthy, A.W.; Miller, M.I.
Medical Imaging, IEEE Transactions on
Volume 10, Issue 3, Sep 1991 Page(s):426 - 436
Digital Object Identifier 10.1109/42.97593
Summary:Extending the work of A.W. McCarthy et al. (1988) and M.I. Miller
and B. Roysam (1991), the authors demonstrate that a fully parallel
implementation of the maximum-likelihood method for single-photon
emission computed tomography (SPECT) can be accomplished in clinical
time frames on massively parallel systolic array processors. The authors
show that for SPECT imaging on 64×64 image grids, with 96 view
angles, the single-instruction, multiple data (SIMD) distributed array
processor containing 642 processors performs the
expectation-maximization (EM) algorithm with Good's smoothing at a rate
of 1 iteration/1.5 s. This promises for emission tomography fully
Bayesian reconstructions including regularization in clinical
computation times which are on the order of 1 min/slice. The most
important result of the implementations is that the scaling rules for
computation times are roughly linear in the number of processors
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