Implementation of data processing and visualization in low-coherence interferometry system

Abstract

Implementation of adaptive Wiener filtering in low-coherence interferometry system described in [1] is investigated. Efficient processing on multicore general processors and graphical processors is considered. Simple means of overcoming insufficient precision of some GPUs are presented.
Developed program in addition to filtering is able to visualize the result by volume rendering techniques. Voxel-based rendering is used for proper visualization of tomography data. The image can be presented on regular screen as well as on virtual reality headset allowing more immersive visualization of internal objects structure. An important feature of the implementation is tight integration of filtering and visualization, which results in significant reduction of data transfer overhead.
The results of processing experimental data with designed program are presented.
The work was financially supported by the Russian Science Foundation (Grant No. 19-79-10118).

[1] Gurov, I. P., Kapranova, V. O., Skakov, P. S, "Evaluation of low-coherence interference fringe parameters by the adaptive Wiener filtering method," Proc. SPIE 11845, Saratov Fall Meeting 2020: Optical and Nanotechnologies for Biology and Medicine, 118451I (2021).

link to presentation: https://niuitmo-my.sharepoint.com/:p:/g/personal/225526_niuitmo_ru/EUlYfbLDlxVPhNp2Cb-VUCIBqzrsA6FgC8P9PMRrsmLcLA?rtime=1a7aDJqC2Ug

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Speaker

Pavel S. Skakov
ITMO University
Russia

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