Kernel regression based feature extraction for 3D MR image denoising

Medical Image Analysis

Volumn 15, Issue 4, 2011, Pages 498-513

  López Rubio, Ezequiel ^a   Florentín Núñez, María Nieves ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b Department of Research and Extensions   (Paraguay)

Author keywords

3D image denoising; Kernel regression; Magnetic Resonance Imaging; Non local means filtering; Rician noise

Indexed keywords

3-D IMAGE DENOISING; DE-NOISING; DIRECTIONAL INFORMATION; FEATURE VECTORS; GAUSSIANS; GRADIENT VECTORS; HUMAN INTERVENTION; IMAGE DE-NOISING; KERNEL REGRESSION; MR IMAGES; NOISE LEVELS; NOISE REMOVAL; NON-PARAMETRIC ESTIMATIONS; NONLOCAL; ORIGINAL IMAGES; REAL IMAGES; RICIAN NOISE; SECOND ORDERS; TRI-DIMENSIONAL STRUCTURE; WEIGHTED AVERAGES;

FEATURE EXTRACTION; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; NOISE POLLUTION CONTROL; PIXELS; REGRESSION ANALYSIS; RESONANCE;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; CONTROLLED STUDY; FEMALE; FILTER; HUMAN; IMAGE ANALYSIS; KERNEL METHOD; MEDICAL INFORMATION; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RICIAN NOISE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79958765594     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.02.006     Document Type: Article

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