Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography
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RESEARCH ARTICLE
Numerical method for axial motion artifact correction in retinal spectral-domain optical coherence tomography Sergey Yu. KSENOFONTOV1,2, Pavel A. SHILYAGIN (✉)2, 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
© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019
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
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Introduction
In this paper, we describe 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) imaging. SD OCT [1] is primarily used for in-vivo, non-invasive imaging of the internal structure of tissues with a high spatial resolution of a few microns. It is based on the spectral interferometric detection of low-coherent infrared light backscattered from the internal inhomogeneities of the object being studied and successive mathematical processing of the captured optical spectrum of the interferometric signal. In ophthalmologic applications of OCT imaging, a typical problem is the undesirable axial microscale movement of the eye relative to the optical detection system. Even with a Received July 11, 2019; accepted October 16, 2019 E-mail: [email protected]
relatively high imaging speed in SD OCT (more than 20000 A-scans per second [2]), it takes several seconds to generate a 3D image of the retinal region. Under these conditions, avoiding random involuntary movement of the eye is almost impossible. This eye movement is mainly associated with muscle tremor [3], respiration [4], and tissue vibration caused by blood flow in large vessels [3,5] and have a component directed along the probing beam propagation. The presence of relative axial displacements introduces distortions in the images, which can sometimes adversely affect the interpretation of the obtained diagnostic information. The solution for this problem requires the development of methods for suppressing the influence of the relative motion of the object during study. These methods can be divided into hardware methods, in which special tools are used to reduce or measure the displacements during scanning, and s
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