Efficient and robust nonlocal means denoising of MR data based on salient features matching

Computer Methods and Programs in Biomedicine

Volumn 105, Issue 2, 2012, Pages 131-144

  Tristán Vega, Antonio ^a   García Pérez, Verónica ^b   Aja Fernández, Santiago ^b   Westin, Carl Fredrik ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Image denoising; Magnetic resonance imaging; Nonlocal means

Indexed keywords

COMPUTATIONAL LOADS; DE-NOISING; EXCELLENT PERFORMANCE; IMAGE DE-NOISING; IN-VIVO EXPERIMENTS; MEDICAL IMAGES; NONLOCAL; PARAMETER-TUNING; PIXEL OF INTERESTS; RECENT STATE; SALIENT FEATURES; SIGNAL TO NOISE; STATISTICAL CHARACTERIZATION;

MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NOISE POLLUTION CONTROL; SIGNAL TO NOISE RATIO;

PIXELS;

ARTICLE; DIFFUSION WEIGHTED IMAGING; DIGITAL FILTERING; FILTER; NONLOCAL MEAN DENOISING; SIGNAL NOISE RATIO;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC IMAGING; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING;

EID: 84856100957     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.07.014     Document Type: Article

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