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Comparison between ML-EM and WLS-CG algorithms for SPECT image reconstruction

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4 Author(s)
Tsui, B.M.W. ; Dept. of Radiol., North Carolina Univ., Chapel Hill, NC, USA ; Xide Zhao ; Frey, E.C. ; Gullberg, G.T.

The properties of the maximum likelihood with expectation maximization (ML-EM) and the weighted least squares with conjugate gradient (WLS-CG) algorithms for use in compensation for attenuation and detector response in cardiac SPECT imaging were studied. A realistic phantom, derived from a patient X-ray CT study to simulate 201Tl SPECT data, was used in the investigation. In general, the convergence rate of the WLS-CG algorithm is about ten times that of the ML-EM algorithm. Also, the WLS-CG exhibits a faster increase in image noise at large iteration numbers than the ML-EM algorithm

Published in:

Nuclear Science, IEEE Transactions on  (Volume:38 ,  Issue: 6 )

Date of Publication:

Dec 1991

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