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On the Expectation-Maximization Algorithm for Rice-Rayleigh Mixtures With Application to Noise Parameter Estimation in Magnitude MR Datasets

Magnitude magnetic resonance (MR) images are noise-contaminated measurements of the true signal, and it is important to assess the noise in many applications. A recently introduced approach models the magnitude MR datum at each voxel in terms of a mixture of upto one Rayleigh and an a priori unspeci...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Sankhya B (2008)
Päätekijä: Maitra, Ranjan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2013
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5944626/
https://ncbi.nlm.nih.gov/pubmed/29757335
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