Shape-adaptive DCT for denoising of 3D scalar and tensor valued images

Journal of Digital Imaging

Volumn 22, Issue 3, 2009, Pages 297-308

  Bergmann, Ørjan ^a   Christiansen, Oddvar ^a   Lie, Johan ^a   Lundervold, Arvid ^a  

^a UNIVERSITY OF BERGEN   (Norway)

Author keywords

Denoising; Diffusion tensor; DTI; Magnetic resonance; Regularization; Shape adaptive DCT

Indexed keywords

DENOISING; DIFFUSION TENSOR; DTI; REGULARIZATION; SHAPE-ADAPTIVE DCT;

ATOMS; COSINE TRANSFORMS; DIFFUSION; DISCRETE COSINE TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; IMAGE CODING; MAGNETIC DOMAINS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL APPLICATIONS; MEDICAL IMAGING; MERGERS AND ACQUISITIONS; POLYNOMIAL APPROXIMATION; SIGNAL TO NOISE RATIO; THREE DIMENSIONAL;

TENSORS;

ALGORITHM; ARTICLE; DIAGNOSTIC IMAGING; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; NEUROIMAGING; NOISE REDUCTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGING, THREE-DIMENSIONAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 67349232604     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-007-9088-6     Document Type: Article

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