Comparison between MAP and postprocessed ML for image reconstruction in emission tomography when anatomical knowledge is available

Previously, the noise characteristics obtained with penalized-likelihood reconstruction [or maximum a posteriori (MAP)] have been compared to those obtained with postsmoothed maximum-likelihood (ML) reconstruction, for emission tomography applications requiring uniform resolution. It was found that...

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Veröffentlicht in:	IEEE transactions on medical imaging 2005-05, Vol.24 (5), p.667-675
Hauptverfasser:	Nuyts, J., Baete, K., Beque, D., Dupont, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical models Anatomical prior Artificial Intelligence Brain - anatomy & histology Computational modeling Computer Simulation Filters Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image quality Image reconstruction Image resolution Imaging phantoms Imaging, Three-Dimensional - methods Information Storage and Retrieval - methods iterative reconstruction Likelihood Functions maximum-a-posteriori reconstruction Models, Anatomic Models, Biological Models, Statistical Nuclear medicine Pattern Recognition, Automated - methods penalized-likelihood Phantoms, Imaging Positron-Emission Tomography - instrumentation Positron-Emission Tomography - methods Reproducibility of Results Sensitivity and Specificity Spatial resolution Subtraction Technique Tomography
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