Filtered backprojection algorithm can outperform iterative maximum likelihood expectation-maximization algorithm

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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 the least-squared difference from the true image, that is, the least-squared error (LSE), is used a...

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ژورنال

عنوان ژورنال: International Journal of Imaging Systems and Technology

سال: 2012

ISSN: 0899-9457

DOI: 10.1002/ima.22011