Wavelet and model-based spectral analysis of color doppler optical coherence tomography


Journal Article

Color doppler optical coherence tomography (CD-OCT) uses time-frequency analysis (TFA) to extract motion-induced Doppler shifted in the interferometric OCT signal. In this paper, the performance of three TFAs are compared in a scattering flow phantom and in in vivo human retina: the short-time Fourier transform, the Morlet-wavelet transform, and the short-time MUSIC transform (STMT). The STMT is a new TFA that incorporates the MUSIC eigenfrequency estimator in a generalized short-time framework. The Morlet transform excels at identifying blood vessels, while the STMT is the most accurate predictor of Doppler shift frequency. © 2006 Elsevier B.V. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Choma, MA; Yazdanfar, S; Izatt, JA

Published Date

  • July 1, 2006

Published In

Volume / Issue

  • 263 / 1

Start / End Page

  • 124 - 128

International Standard Serial Number (ISSN)

  • 0030-4018

Digital Object Identifier (DOI)

  • 10.1016/j.optcom.2006.01.019

Citation Source

  • Scopus