Sparse OCT: Optimizing compressed sensing in spectral domain optical coherence tomography

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7904, Issue , 2011, Pages

  Liu, Xuan ^a   Kang, Jin U ^a  

^a Johns Hopkins University   (United States)

Author keywords

Image reconstruction techniques; Information theoretical analysis; Optical coherence tomography

Indexed keywords

COMPRESSED SENSING; DATA CONSISTENCY; IMAGE RECONSTRUCTION TECHNIQUES; INFORMATION THEORETICAL ANALYSIS; K-SPACE; L1 NORM; OCT SIGNALS; OPTICAL COHERENCE TOMOGRAPHY; OPTIMIZATION PROBLEMS; RANDOM SAMPLING; SIGNAL RECOVERY; SPECTRAL DATA; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIES; UNDER-SAMPLING; VARIABLE DENSITY;

IMAGE ACQUISITION; IMAGE RECONSTRUCTION; INFORMATION THEORY; OPTIMIZATION; RANDOM VARIABLES; STRAIN MEASUREMENT; TOMOGRAPHY;

THREE DIMENSIONAL;

EID: 79955141200     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.874058     Document Type: Conference Paper

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