Recurrence signal processing in Fourier-domain optical coherence tomography based on linear Kalman filtering

Igor Gurov; Maxim Volynsky

doi:10.1117/12.2020615

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23 May 2013 Recurrence signal processing in Fourier-domain optical coherence tomography based on linear Kalman filtering

Igor Gurov, Maxim Volynsky

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Proceedings Volume 8792, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials; 879203 (2013) https://doi.org/10.1117/12.2020615
Event: SPIE Optical Metrology 2013, 2013, Munich, Germany

Abstract

The method of dynamic data processing in Fourier-domain optical coherence tomography based on the Kalman filtering algorithm is proposed. It is shown the possibility of adaptive selection of the required number of spectral samples at different wavelengths to provide necessary resolution of an investigated object micro structure. Experimental results of dynamic data processing in the swept-source optical coherence tomography are presented.

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Igor Gurov and Maxim Volynsky "Recurrence signal processing in Fourier-domain optical coherence tomography based on linear Kalman filtering", Proc. SPIE 8792, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials, 879203 (23 May 2013); https://doi.org/10.1117/12.2020615

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