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Improving the Visual Quality of Median Root Prior Images in PET and SPECT Reconstruction  (Make Corrections)  
S. Alenius, U. Ruotsalainen



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Abstract: The median root prior (MRP) iterative reconstruction algorithm favors locally monotonic images. MRP preserves sharp edges while reducing noise at the same time. Quantitative properties of MRP are good, because a sufficiently high number of iterations can be run. In order to make the visual quality of MRP images more conventional, the standard median was replaced by other order statistic operations, the Land FMH-filters. They allow for smoother appearance as they apply linear weighting together... (Update)

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BibTeX entry:   (Update)

@misc{ alenius-improving,
  author = "S. Alenius and U. Ruotsalainen",
  title = "Improving the Visual Quality of Median Root Prior Images in PET and SPECT
    Reconstruction",
  url = "citeseer.ist.psu.edu/395330.html" }
Citations (may not include all citations):
443   Discrete-Time Signal Processing (context) - Oppenheim, Schafer - 1989
36   A generalization of median filtering using linear combinatio.. (context) - Bovik, Huang et al. - 1983
21   Fundamentals of nonlinear digital filtering (context) - Astola, Kuosmanen - 1997
18   Maximum likelihood, least squares, and penalized least squar.. (context) - Kaufman - 1993
10   Bayesian image reconstruction for emission tomography based .. (context) - Alenius, Ruotsalainen - 1997
4   Using local median as the location of the prior distribution.. - Alenius, Ruotsalainen et al. - 1998
1   Implementation and evaluation of a 3D ordered subsets expect.. (context) - Bettinardi, Pagani et al.
1   On Noise Reduction in Iterative Image Reconstruction Algorit.. (context) - Alenius - 1999
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Transmission Images and Attenuation Correction with.. - Alenius.. (1998)   (Correct)
Using Local Median as the Location of the Prior.. - Alenius..   (Correct)

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