Abstract
A phantom of a human blood vessel is used to study the quality of structural images in endoscopic OCT. Small-angle raster scanning, averaging and multilevel filtering are used. Compression of the structural image with raster averaging increases the contrast of the structural image by reducing the level of speckle noise. File compression is part of the imaging process and is performed for each pixel. The graphical dependence of the upper lines of the A-scans of the structural image of the blood vessel phantom wall is presented. The proposed algorithm allows obtaining high-quality structural images for gastroenterology, urology, gynecology, and in vivo cardiovascular diagnostics using conventional and endoscopic OCT; characterized by high processing speed of initial data and optimal file size; reduces the requirements for the detector bandwidth of the endoscopic OCT system. For calculations, an HP Z640 Workstation with two six-core E5-2620v3c processors and a 4GB NVIDIA Quadro K4200 video card was used.
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