Filtered Backprojection Algorithm Can Outperform Iterative Maximum Likelihood Expectation-Maximization Algorithm
The iterative maximum-likelihood expectation-maximization (ML-EM) algorithm is an excellent algorithm for image reconstruction and usually provides better images than the filtered backprojection (FBP) algorithm. However, a windowed FBP algorithm can outperform the ML-EM in certain occasions, when th...
Veröffentlicht in: | International journal of imaging systems and technology. - 1990. - 22(2012), 2 vom: 15. Juni, Seite 114-120 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2012
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Zugriff auf das übergeordnete Werk: | International journal of imaging systems and technology |
Schlagworte: | Journal Article ML-EM algorithm Poisson noise filtered backprojection algorithm image reconstruction |
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