Optimal processing of Doppler signals in OCT

Julia Walther; Lars Kirsten; Edmund Koch

doi:10.1117/12.2183444

9 July 2015 Optimal processing of Doppler signals in OCT

Julia Walther, Lars Kirsten, Edmund Koch

Proceedings Volume 9541, Optical Coherence Imaging Techniques and Imaging in Scattering Media; 954102 (2015) https://doi.org/10.1117/12.2183444
Event: European Conferences on Biomedical Optics, 2015, Munich, Germany

Abstract

Besides structural imaging, OCT can be used to estimate axial velocities of the sample resolved in depth by Doppler processing. In Fourier domain OCT (FD-OCT), this is accomplished by measuring the phase difference (i.e. phase shift) between timely separated A-scans at the same depth. In most cases, these data are disturbed by noise caused by intrinsic noise of the OCT system, specified by the SNR, and decorrelation noise caused by the transversal movement of the optical beam relative to the sample. Since the first use of Doppler methods in OCT, many methods to reduce the phase shift noise by averaging have been presented. While all these methods use a fixed set of consecutive A-scans, the best method, exhibiting no bias and having the smallest standard deviation, was questionable. Recently, Doppler processing methods depending on the mentioned noise sources and delivering the most likely phase shift and thereby axial velocity became available. The relation of these methods to previously known methods like the Kasai estimator, maximum likelihood estimator (MLE) and joint spectral and time domain OCT (jSTdOCT) will be discussed.

Citation Download Citation

Julia Walther, Lars Kirsten, and Edmund Koch "Optimal processing of Doppler signals in OCT", Proc. SPIE 9541, Optical Coherence Imaging Techniques and Imaging in Scattering Media, 954102 (9 July 2015); https://doi.org/10.1117/12.2183444

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KEYWORDS

Signal to noise ratio

Optical coherence tomography

Doppler effect

Doppler tomography

Phase shifts

Signal processing

Convolution

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