Wavelet and model-based spectral analysis of color doppler optical coherence tomography |
| |
Authors: | Michael A Choma Joseph A Izatt |
| |
Institution: | Department of Biomedical Engineering, Duke University, 136 Hudson Hall, Durham, NC 27708, United States |
| |
Abstract: | 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. |
| |
Keywords: | 42 30 W 42 25 H |
本文献已被 ScienceDirect 等数据库收录! |
|