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- W1909367084 abstract "In SPECT reconstruction, iterative Maximum Likelihood Expectation Maximization (ML-EM) estimation has a huge computational burden. The objective of this paper is to investigate how large a reduction in computation time can be obtained by using an algorithm acting on Ordered Subsets of projections (OS-EM). The authors validated OS-EM for a high number of subsets (which correlates with a high acceleration factor). Two phantoms, a cylinder with two cold spots and an ellipsoid with several hot spots and one cold spot were reconstructed from 120 noisy projections with the aid of a 1D (/spl delta/-like point source response), 2D (single slice response) and fully 3D PSF model. Signal-to-noise ratios (SNRs) and mean squared errors between phantoms and reconstructions as a function of contrast were calculated for OS-FM and ML-EM. Surprisingly, OS-EM outperforms ML-EM at high iteration numbers for the cylindrical phantom: OS-FM reconstructed images generally have a higher contrast at equivalent noise levels. For the ellipsoidal phantom the results of OS-EM are not superior, but certainly adequate, particularly so for the 3D PSF model, even when 60 subsets of opposing projections are used. In conclusion, the OS-EM algorithm using a high number of subsets is an extremely fast and reliable method to accelerate iterative SPECT reconstruction." @default.
- W1909367084 created "2016-06-24" @default.
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- W1909367084 date "2002-11-19" @default.
- W1909367084 modified "2023-09-24" @default.
- W1909367084 title "Accelerated SPECT reconstruction using OS-EM with only two projections per subset" @default.
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- W1909367084 doi "https://doi.org/10.1109/nssmic.1995.510475" @default.
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