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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 2, Iss. 9 — Sep. 1, 2011
  • pp: 2690–2697

Real-time high-speed volumetric imaging using compressive sampling optical coherence tomography

Mei Young, Evgeniy Lebed, Yifan Jian, Paul J. Mackenzie, Mirza Faisal Beg, and Marinko V. Sarunic  »View Author Affiliations


Biomedical Optics Express, Vol. 2, Issue 9, pp. 2690-2697 (2011)
http://dx.doi.org/10.1364/BOE.2.002690


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Abstract

Volumetric imaging of the Optic Nerve Head (ONH) morphometry with Optical Coherence Tomography (OCT) requires dense sampling and relatively long acquisition times. Compressive Sampling (CS) is an emerging technique to reduce volume acquisition time with minimal image degradation by sparsely sampling the object and reconstructing the missing data in software. In this report, we demonstrated real-time CS-OCT for volumetric imaging of the ONH using a 1060nm Swept-Source OCT prototype. We also showed that registration and averaging of CS-recovered volumes enhanced visualization of deep structures of the sclera and lamina cribrosa. This work validates CS-OCT as a means for reducing volume acquisition time and for preserving high-resolution in volume-averaged images. Compressive sampling can be integrated into new and existing OCT systems without changes to the optics, requiring only software changes and post-processing of acquired data.

© 2011 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(110.4500) Imaging systems : Optical coherence tomography

ToC Category:
Optical Coherence Tomography

History
Original Manuscript: July 21, 2011
Revised Manuscript: August 19, 2011
Manuscript Accepted: August 19, 2011
Published: August 24, 2011

Citation
Mei Young, Evgeniy Lebed, Yifan Jian, Paul J. Mackenzie, Mirza Faisal Beg, and Marinko V. Sarunic, "Real-time high-speed volumetric imaging using compressive sampling optical coherence tomography," Biomed. Opt. Express 2, 2690-2697 (2011)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-2-9-2690


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