Fast acquisition and reconstruction of optical coherence tomography images via sparse representation

IEEE Transactions on Medical Imaging

Volumn 32, Issue 11, 2013, Pages 2034-2049

  Fang, Leyuan ^a,b   Li, Shutao ^a   McNabb, Ryan P ^c   Nie, Qing ^b   Kuo, Anthony N ^b   Toth, Cynthia A ^b,c   Izatt, Joseph A ^b,c   Farsiu, Sina ^b,d  

^a HUNAN UNIVERSITY   (China)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c Duke University   (United States)

^d DUKE UNIVERSITY   (United States)

Author keywords

Fast retina scanning; image enhancement; optical coherence tomography; simultaneous denoising and interpolation; sparse representation

Indexed keywords

COMPRESSIVE SENSING; DE-NOISING; HIGH QUALITY IMAGES; MULTI-DIMENSIONAL IMAGES; RESTORATION METHODS; SPARSE REPRESENTATION; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIES; STATE-OF-THE-ART METHODS;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; INTERPOLATION; MEDICAL IMAGING; OPTICAL TOMOGRAPHY;

IMAGE DENOISING;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; B SCAN; BINOCULAR CONVERGENCE; CONTRAST TO NOISE RATIO; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; INFORMATION PROCESSING; LEARNING ALGORITHM; MOUSE; NOISE REDUCTION; NONHUMAN; QUANTITATIVE ANALYSIS; RETINA FOVEA; RETINA MACULA AGE RELATED DEGENERATION; SIGNAL NOISE RATIO; SPARSITY BASED SIMULTANEOUS DENOISING AND INTERPOLATION ALGORITHM; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY;

ALGORITHMS; ANIMALS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACULAR DEGENERATION; MICE; OPTIC NERVE; RETINA; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84887842762     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2271904     Document Type: Article

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