doi: 10.17586/2226-1494-2018-18-3-369-376


I. P. Gurov, A. Y. Pimenov

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For citation: Gurov I.P., Pimenov A.Yu. Energetic efficiency assessment of spectral coherence tomograph optical-electronic system. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 3, pp. 369–376 (in Russian). doi: 10.17586/2226-1494-2018-18-3-369-376

 Subject of Research.The paper considers the methods of optical coherence tomography (OCT) based on illuminating a sample by optical radiation with subsequent determination of light reflection degree through a sample depth. Illumination method defines basic characteristics of OCT system such as sensitivity and speed in studies of biological samples. In mechanical scanning-free OCT systems, line- and full-field illumination methods are applied utilizing object illumination by laser source with tunable wavelength. The study is aimed at energetic efficiency quantitative assessment of line-field OCT system with tunable radiation source and in comparison of line-field illumination method with full-field one. Method. Based on the model of OCT optical system, ray tracing has been carried out, and spatial distribution of energy reflected from a sample and registered by photo detector has been determined. Photoelectrical signal and signal-to-noise ratio have been evaluated.Main Results. It has been shown that line-field OCT system providessignificantly higher sensitivity (97 dB) compared to full-field system (78 dB). In addition, line-field system allows obtaining B-scan without moving of mechanical parts. Original scheme of lighting channel has been proposed providing uniform illumination spatial distribution along lighting line without sensitivity decay near edges of image field. Practical Relevance.The obtained results can be applied for creation of compact real-time spectral OCT system.

Keywords: optical coherence tomography, OCT, swept laser source, Linnik micro interferometer, signal-to-noise ratio, ray tracing

Acknowledgements. This work was supported by the Ministry of Education and Science of the Russian Federation (Project No. 8.2501.2017/4.6).

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