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- W2012869715 abstract "The objective of this study was to develop very low noise and high-contrast-to-noise ratio fast proximity algorithm forMAP ECT reconstruction that would allow significant (factor of two or more) patient’s dose reduction, as compared toconventional OSEM algorithm. We proposed a semi-dynamic Preconditioned Alternating Projection Algorithm (PAPA)for solving the maximum a posteriori (MAP) emission computed tomography (ECT) reconstruction problem.Specifically, we formulated the reconstruction problem as a constrained convex optimization problem with the totalvariation (TV) regularization. We characterized the solution of the constrained convex optimization problem and showedthat it satisfies a system of fixed-point equations defined in terms of two proximity operators arising from the convexfunctions that define the TV-norm and the constrain involved in the problem. We proved theoretically the convergenceof the proposed algorithm. For efficient numerical computation, we introduced to the alternating projection algorithm apreconditioning matrix: the EM-preconditioner. In numerical experiments using Monte Carlo simulated SPECT dataperformance of our algorithms was compared with performance of the conventional EM algorithm with Gaussian postfilter.Based on the results of these experiments, we observed that PAPA algorithm with the EM-preconditioneroutperforms very significantly the benchmark EM in terms of contrast-to-noise ratio and the noise characteristics of thereconstructed images." @default.
- W2012869715 created "2016-06-24" @default.
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- W2012869715 date "2013-03-19" @default.
- W2012869715 modified "2023-09-26" @default.
- W2012869715 title "Semi-dynamic preconditioned alternating projection MAP ECT reconstruction from low-dose ECT" @default.
- W2012869715 doi "https://doi.org/10.1117/12.2008153" @default.
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