Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods

Physics in Medicine and Biology

Volumn 56, Issue 16, 2011, Pages 5221-5234

  Rajan, Jeny ^a   Jeurissen, Ben ^a   Verhoye, Marleen ^a   Van Audekerke, Johan ^a   Sijbers, Jan ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BHATTACHARYYA COEFFICIENT; BLURRED EDGES; DE-NOISE; DE-NOISING; FINE STRUCTURES; MAGNETIC RESONANCE IMAGES; MATRIX; MAXIMUM LIKELIHOOD METHODS; MEAN ABSOLUTE DIFFERENCES; MR IMAGES; NOISY IMAGE; NOISY PIXELS; NONLOCAL; PEAK SIGNAL TO NOISE RATIO; PRE-SELECTED; REFERENCE IMAGE; RICE DISTRIBUTION; STATE-OF-THE-ART METHODS; STRUCTURAL SIMILARITY;

MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PIXELS; SIGNAL TO NOISE RATIO;

MAXIMUM LIKELIHOOD ESTIMATION;

ACTINIDIA; ALGORITHM; ARTICLE; BRAIN; FRUIT; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL;

ACTINIDIA; ALGORITHMS; BRAIN; FRUIT; HUMANS; IMAGE ENHANCEMENT; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING;

EID: 79961089538     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/16/009     Document Type: Article

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