Real-time, high velocity resolution color Doppler OCT

Published

Journal Article

Color Doppler optical coherence tomography (CDOCT, also called Oprical Doppler Tomography) is a noninvasive optical imaging technique, which allows for micron-scale physiological flow mapping simultaneous with morphological OCT imaging. Current systems for real-time endoscopic optical coherence tomography (EOCT) would be enhanced by the capability to visualize sub-surface blood flow for applications in early cancer diagnosis and the management of bleeding ulcers. Unformnately, previous implementations of CDOCT have either been sufficiently computationally expensive (employing Fourier or Hilbert transform techniques) to rule out real-rime imaging of flow, or have been restricted to imaging of excessively high flow velociries when used in real rime. We have developed a novel Doppler OCT signal-processing strategy capable of imaging physiological flow rates in real rime. This strategy employs cross-correlation processing of sequential A-scans in an EOCT image, as opposed to autocorrelation processing as described previously. To measure Doppler shifts in the kHz range using this technique, it was necessary to stabilize the EOCT interferometer center frequency, eliminate parasiric phase noise, and to construct a digital cross correlation unit able to correlate signals of megahertz bandwidth by a fixed lag of up to a few ms. The performance of the color Doppler OCT system was demonstrated in a flow phantom, demonstraring a minimum detectable flow velocity of ∼0.8 mm/s at a data acquisition rate of 8 images/second (with 480 A-scans/image) using a handheld probe. Dynamic flow as well as using it freehanded was shown. Flow was also detectable in a phantom in combination with a clinical usable endoscopic probe.

Full Text

Duke Authors

Cited Authors

  • Westphal, V; Yazdanfar, S; Rollins, AM; Izatt, JA

Published Date

  • January 1, 2001

Published In

Volume / Issue

  • 4251 /

Start / End Page

  • 188 - 191

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.427893

Citation Source

  • Scopus