Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography.
Identifieur interne : 000307 ( PubMed/Curation ); précédent : 000306; suivant : 000308Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography.
Auteurs : Daguang Xu ; Yong Huang ; Jin U. KangSource :
- Journal of the Optical Society of America. A, Optics, image science, and vision [ 1520-8532 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- cytology : Citrus sinensis, Skin.
- methods : Image Processing, Computer-Assisted.
- Algorithms, Benchmarking, Computer Graphics, Humans, Time Factors, Tomography, Optical Coherence.
Abstract
In this work, we propose a novel dispersion compensation method that enables real-time compressive sensing (CS) spectral domain optical coherence tomography (SD OCT) image reconstruction. We show that dispersion compensation can be incorporated into CS SD OCT by multiplying the dispersion-correcting terms by the undersampled spectral data before CS reconstruction. High-quality SD OCT imaging with dispersion compensation was demonstrated at a speed in excess of 70 frames per s using 40% of the spectral measurements required by the well-known Shannon/Nyquist theory. The data processing and image display were performed on a conventional workstation having three graphics processing units.
PubMed: 25401447
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pubmed:25401447Le document en format XML
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<front><div type="abstract" xml:lang="en">In this work, we propose a novel dispersion compensation method that enables real-time compressive sensing (CS) spectral domain optical coherence tomography (SD OCT) image reconstruction. We show that dispersion compensation can be incorporated into CS SD OCT by multiplying the dispersion-correcting terms by the undersampled spectral data before CS reconstruction. High-quality SD OCT imaging with dispersion compensation was demonstrated at a speed in excess of 70 frames per s using 40% of the spectral measurements required by the well-known Shannon/Nyquist theory. The data processing and image display were performed on a conventional workstation having three graphics processing units.</div>
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<Abstract><AbstractText>In this work, we propose a novel dispersion compensation method that enables real-time compressive sensing (CS) spectral domain optical coherence tomography (SD OCT) image reconstruction. We show that dispersion compensation can be incorporated into CS SD OCT by multiplying the dispersion-correcting terms by the undersampled spectral data before CS reconstruction. High-quality SD OCT imaging with dispersion compensation was demonstrated at a speed in excess of 70 frames per s using 40% of the spectral measurements required by the well-known Shannon/Nyquist theory. The data processing and image display were performed on a conventional workstation having three graphics processing units.</AbstractText>
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