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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 5, Iss. 14 — Nov. 16, 2010

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

Xuan Liu and Jin U. Kang  »View Author Affiliations


Optics Express, Vol. 18, Issue 21, pp. 22010-22019 (2010)
http://dx.doi.org/10.1364/OE.18.022010


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Abstract

We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l1 norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images.

© 2010 OSA

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(170.4500) Medical optics and biotechnology : Optical coherence tomography
(110.3055) Imaging systems : Information theoretical analysis

ToC Category:
Imaging Systems

History
Original Manuscript: August 9, 2010
Revised Manuscript: September 10, 2010
Manuscript Accepted: September 20, 2010
Published: October 1, 2010

Virtual Issues
Vol. 5, Iss. 14 Virtual Journal for Biomedical Optics

Citation
Xuan Liu and Jin U. Kang, "Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography," Opt. Express 18, 22010-22019 (2010)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-18-21-22010


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