Medium chromatic dispersion calculation and correction in spectral-domain optical coherence tomography

doi:10.1007/s12200-017-0736-2

Front. Optoelectron.

2017, Vol. 10

Issue (3) : 323-328 https://doi.org/10.1007/s12200-017-0736-2

RESEARCH ARTICLE

Medium chromatic dispersion calculation and correction in spectral-domain optical coherence tomography

Vasily A. MATKIVSKY(

), Alexander A. MOISEEV, Sergey Yu. KSENOFONTOV, Irina V. KASATKINA, Grigory V. GELIKONOV, Dmitry V. SHABANOV, Pavel A. SHILYAGIN, Valentine M. GELIKONOV

Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod 603950, Russia

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Abstract

A method for determining and correcting distortions in spectral-domain optical coherence tomography images caused by medium dispersion was developed. The method is based on analysis of the phase distribution of the interference signal recorded by an optical coherence tomography device using an iterative approach to find and compensate for the effect of a medium’s chromatic dispersion on point-spread function broadening in optical coherence tomography. This enables compensation of the impact of medium dispersion to an accuracy of a fraction of a radian (units of percent) while avoiding additional measurements and solution of the optimization problem. The robustness of the method was demonstrated experimentally using model and biological objects.

Keywords optical coherence tomography (OCT) dispersion image resolution restoration

Corresponding Author(s): Vasily A. MATKIVSKY

Just Accepted Date: 17 August 2017 Online First Date: 08 September 2017 Issue Date: 26 September 2017

Cite this article:

Vasily A. MATKIVSKY,Alexander A. MOISEEV,Sergey Yu. KSENOFONTOV, et al. Medium chromatic dispersion calculation and correction in spectral-domain optical coherence tomography[J]. Front. Optoelectron., 2017, 10(3): 323-328.

URL:

https://academic.hep.com.cn/foe/EN/10.1007/s12200-017-0736-2
https://academic.hep.com.cn/foe/EN/Y2017/V10/I3/323

Fig.1 Experimental verification of the possibility of dispersive profile reconstruction. (a) Initial OCT image of human finger skin; (b) reconstructed nonlinear profile of medium dispersion spectrum (solid curve) and its numerical model based on Sellmeier’s equation [28] (dashed curve)

Fig.2 Human volunteer retina OCT image. (a) Initial image in the case of dispersion-induced distortion; (b) restored image; (c) and (d) magnified fragments of (a) and (b) images, respectively

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