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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 6, Iss. 7 — Jul. 27, 2011

Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals

Nishant Mohan and Benjamin Vakoc  »View Author Affiliations

Optics Letters, Vol. 36, Issue 11, pp. 2068-2070 (2011)

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The intensity signal in optical coherence tomography contains information about the translational velocity of scatterers, and can be used to quantify blood flow. We apply principal component analysis to efficiently extract this information. We also study use of nonuniform temporal sampling of the intensity signal to increase the range of quantifiable flow velocities. We demonstrate this technique in simulation, phantom and in vivo blood flow measurements, and highlight its potential to enable three-dimensional wide-field mapping of blood flow using OCT.

© 2011 Optical Society of America

OCIS Codes
(170.4500) Medical optics and biotechnology : Optical coherence tomography
(150.1135) Machine vision : Algorithms

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: February 28, 2011
Revised Manuscript: April 19, 2011
Manuscript Accepted: April 20, 2011
Published: May 27, 2011

Virtual Issues
Vol. 6, Iss. 7 Virtual Journal for Biomedical Optics

Nishant Mohan and Benjamin Vakoc, "Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals," Opt. Lett. 36, 2068-2070 (2011)

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