Compensation for the Influence of Fluctuations in the Distance to the Object During Noncontact Probing in Spectral Domain Optical Coherence Tomography

Gelikonov, Grigory V.; Ksenofontov, S. Yu.; Shilyagin, Pavel A.; Gelikonov, V. M.

doi:10.1007/s11141-019-09971-0

Cited by 7 publications

(1 citation statement)

References 38 publications

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“…All images were obtained in the hand-held regime, so unwanted movements like tremor and breath were significant to distort OCT images. To eliminate the influence of these movements we implemented the method of compensation for the influence of fluctuations in the distance to the object described in [13]. An OCT image of the structures of the middle ear was displayed on a computer screen in real time and recorded in one of the available data output formats.…”

Section: Methodsmentioning

confidence: 99%

Differential geometric approach for automated eardrum thickness measurement in OCT image processing

Matkivsky¹,

Shilyagin²,

Moiseev³

et al. 2020

Laser Phys. Lett.

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We propose a method for the automated in vivo thickness measurement of the human eardrum in OCT imaging. The method is based on extraction curvilinear structures using eigenvectors and eigenvalues of smoothing image Hessian (Steger method). This allows for extracting the central line of the eardrum and calculating the normal to each point. The latter circumstance makes it possible to find the proper thickness of an arbitrarily oriented eardrum having a complex shape. The algorithm works correctly despite the presence of other image elements complicating the central line and borders extraction process (presence of an effusion or structures with bright borders-bones). The algorithm does not require large computing power and can be applied to real time image processing. In addition, a comparison of the effectiveness of the proposed method with a Canny edge detector is given.

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Section: Methodsmentioning

confidence: 99%

Differential geometric approach for automated eardrum thickness measurement in OCT image processing

Matkivsky¹,

Shilyagin²,

Moiseev³

et al. 2020

Laser Phys. Lett.

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show abstract

Optical coherence tomograph for non-invasive examination of the human middle ear

Shilyagin¹,

Novozhilov²,

Abubakirov³

et al. 2021

Quantum Electron.

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Recognition of individual scatterers against the noise background in the optical coherence tomography image

Shilyagin¹,

Novozhilov²,

Dilenyan³

et al. 2021

Quantum Electron.

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The problem of recognising single sparsely located scatterers against the noise background in the image obtained by the method of optical coherence tomography (OCT) is considered. An identification method based on the use of specific scanning features upon OCT image registration and on the statistical analysis of image fragments is proposed. The efficiency of the method is demonstrated experimentally in the diagnosis of otitis media with effusion. The approach can be used in the development of automated algorithms for determining the presence of highly transparent effusion in the middle ear cavity of a human with acute otitis media with effusion, including postoperative one.

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Compensation for the Influence of Fluctuations in the Distance to the Object During Noncontact Probing in Spectral Domain Optical Coherence Tomography

Cited by 7 publications

References 38 publications

Differential geometric approach for automated eardrum thickness measurement in OCT image processing

Differential geometric approach for automated eardrum thickness measurement in OCT image processing

Optical coherence tomograph for non-invasive examination of the human middle ear

Recognition of individual scatterers against the noise background in the optical coherence tomography image

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