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Frontiers of Optoelectronics

ISSN 2095-2759

ISSN 2095-2767(Online)

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Front. Optoelectron.    2020, Vol. 13 Issue (4) : 393-401    https://doi.org/10.1007/s12200-019-0951-0
RESEARCH ARTICLE
Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography
Sergey Yu. KSENOFONTOV1,2, Pavel A. SHILYAGIN2(), Dmitry A. TERPELOV2, Valentin M. GELIKONOV2, Grigory V. GELIKONOV2
1. BioMedTech Llc, Nizhny Novgorod 603155, Russia
2. Institute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod 603950, Russia
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Abstract

A numerical method that compensates image distortions caused by random fluctuations of the distance to an object in spectral-domain optical coherence tomography (SD OCT) has been proposed and verified experimentally. The proposed method is based on the analysis of the phase shifts between adjacent scans that are caused by micrometer-scale displacements and the subsequent compensation for the displacements through phase-frequency correction in the spectral space. The efficiency of the method is demonstrated in model experiments with harmonic and random movements of a scattering object as well as during in vivo imaging of the retina of the human eye.
Keywords optical coherence tomography (OCT)      motion artifact correction      retinal imaging      numerical method     
Corresponding Author(s): Pavel A. SHILYAGIN   
Just Accepted Date: 28 October 2019   Online First Date: 15 January 2020    Issue Date: 31 December 2020
 Cite this article:   
Sergey Yu. KSENOFONTOV,Pavel A. SHILYAGIN,Dmitry A. TERPELOV, et al. Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography[J]. Front. Optoelectron., 2020, 13(4): 393-401.
 URL:  
https://academic.hep.com.cn/foe/EN/10.1007/s12200-019-0951-0
https://academic.hep.com.cn/foe/EN/Y2020/V13/I4/393
Fig.1  Schematic of an SD OCT system based on a Michelson interferometer
Fig.2  Typical scan patterns in OCT imaging with continuous registering of A-scans, (a) raster with two directions, (b) concentric spiral, (c) Lissajous curves, (d) cylindrical, and (e) a sample of sequential A-scan beams overlapping
Fig.3  Displacement correction in OCT images of a human retina. Initial image sections: (a) across the slow axis, (d) en-face section at the selected depth denoted by dashed line in (a), and (b) displacement calculated in phase units for the entire 3D image. Restored image sections: (c) across the slow axis (same section as (a)), (e) en-face section at the selected depth
Fig.4  Schematic of experiment to simulate mutual vertical displacements of the object and the OCT system
Fig.5  OCT images of the sample: (a) when the sample is at rest, (b) with vertical harmonic oscillations of the sample, (c) same as (b) with compensation for axial displacements, (d) with stochastic vertical displacements of the sample, and (e) same as (d) with compensation for axial displacements
Fig.6  OCT images of the part of the retina near the optic nerve (a) without compensation, and (b) with compensation for axial displacements
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