Wavelet and Eigenfrequency spectral analysis of color Doppler optical coherence tomography

Michael A. Choma; Siavash Yazdanfar; Joseph A. Izatt

doi:10.1117/12.479040

8 July 2003 Wavelet and Eigenfrequency spectral analysis of color Doppler optical coherence tomography

Michael A. Choma, Siavash Yazdanfar, Joseph A. Izatt

Proceedings Volume 4956, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VII; (2003) https://doi.org/10.1117/12.479040
Event: Biomedical Optics, 2003, San Jose, CA, United States

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.

Citation Download Citation

Michael A. Choma, Siavash Yazdanfar, and Joseph A. Izatt "Wavelet and Eigenfrequency spectral analysis of color Doppler optical coherence tomography", Proc. SPIE 4956, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine VII, (8 July 2003); https://doi.org/10.1117/12.479040

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