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Proceedings Paper

Wavelet and Eigenfrequency spectral analysis of color Doppler optical coherence tomography
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Paper Abstract

Optical coherence tomography (OCT) is a depth-resolved imaging modality that uses low coherence interferometry to gate the time-of-flight of backreflected sample light. The heterodyne frequency of the interferometric signal can be up- or downshifted by reflection off of a moving particle (e.g. red blood cells in an artery). This Doppler shift can be resolved with a time-frequency decomposition (TFD) and displayed as a color Doppler-OCT image. Here we compare the in virto and in vivo performance of three TFDs: the short-time Fourier transform, the Morlet wavelet transform, and the short-time MUSIC transform (STMT). The STMT is a new TFD 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.

Paper Details

Date Published: 8 July 2003
PDF: 4 pages
Proc. SPIE 4956, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VII, (8 July 2003); doi: 10.1117/12.479040
Show Author Affiliations
Michael A. Choma, Duke Univ. (United States)
Siavash Yazdanfar, Duke Univ. (United States)
Joseph A. Izatt, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 4956:
Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VII
Valery V. Tuchin; Joseph A. Izatt; James G. Fujimoto, Editor(s)

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