Denoising by averaging reconstructed images: Application to magnetic resonance images

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 3, 2009, Pages 666-674

  Luo, Jianhua ^a   Zhu, Yuemin ^b   Magnin, Isabelle E ^b,c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b UNIVERSITÉ DE LYON   (France)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Denoising; Partial spectrum; Reconstruction; Singular spectrum analysis

Indexed keywords

DE NOISE; DE-NOISING METHODS; DENOISING; DENOISING APPROACHES; HIGH IMAGE QUALITIES; MAGNETIC RESONANCE IMAGES; PARTIAL SPECTRUM; REAL IMAGES; RECONSTRUCTED IMAGES; RECONSTRUCTION; SINGULAR SPECTRUM ANALYSIS; SINGULARITY FUNCTIONS; THEORETICAL FORMULATIONS;

IMAGE QUALITY; INTERFEROMETRY; MAGNETIC RESONANCE IMAGING; RESTORATION; SPECTRUM ANALYZERS;

SPECTRUM ANALYSIS;

ARTICLE; DENOISING METHOD; EXPERIMENTAL STUDY; IMAGE QUALITY; IMAGE RECONSTRUCTION; MODEL; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; SIMULATION; SPECTRUM; TECHNIQUE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL; PHANTOMS, IMAGING;

EID: 65349124240     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2012256     Document Type: Article

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