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FTViewer Application for Analysis and Visualization of Functional Tomograms of Complex Systems

  • PATTERN RECOGNITION AND IMAGE ANALYSIS AUTOMATED SYSTEMS, HARDWARE AND SOFTWARE
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Abstract

Software for studying the spatial structure of various complex systems based on the data of multichannel measurements is developed. Experimental space-time functions without information loss are converted into a functional tomogram: the set of independent oscillations. Each oscillation is generated by one dipole source and has a unique set of characteristics, including frequency, energy, and spatial parameters. It is also possible to select and represent spatial structures obtained by solving the inverse problem with the given accuracy. Using the data of magnetic encephalography (MEG) as an example, various options for filtering and displaying a functional tomogram of the human head are considered. The FTViewer application allows us to study in detail the work of the brain and the nature of noise signals.

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Funding

The study was supported by the Russian Science Foundation (project no. 18-11-00178).

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Authors and Affiliations

  1. Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, 125047, Moscow, Russia

    S. D. Rykunov, E. S. Oplachko & M. N. Ustinin

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  1. S. D. Rykunov
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  2. E. S. Oplachko
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  3. M. N. Ustinin
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Correspondence to S. D. Rykunov, E. S. Oplachko or M. N. Ustinin.

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Stanislav Dmitrievich Rykunov. Born1986. Graduated from Moscow State University of Instrument Engineering and Informatics in 2012 and defended his candidate’s dissertation in 2016. Senior Researcher at the Institute of Mathematical Problems of Biology, Russian Academy of Sciences. Scientific interests: MEG, data processing and analysis, parallel computing. Author of over 40 papers.

Ekaterina Sergeevna Oplachko. Born 1988. Graduated from Voronezh State University in 2011. Researcher at the Institute of Mathematical Problems of Biology, Russian Academy of Sciences. Scientific interests: cloud technologies and encephalography data analysis. Author of 13 papers.

Mikhail Nikolaevich Ustinin. Born: 1957. Graduated from Moscow State University in 1981, defended his candidate’s dissertation in 1990 and his doctoral dissertation in 2004. Deputy director at Keldysh Institute of Applied Mathematics and head of the branch. Scientific interests: the creation of intelligent methods for data analysis and their application in biology and medicine. The author of over 170 papers, including two monographs. Member of the International Society for Neuroscience.

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Rykunov, S.D., Oplachko, E.S. & Ustinin, M.N. FTViewer Application for Analysis and Visualization of Functional Tomograms of Complex Systems. Pattern Recognit. Image Anal. 30, 716–725 (2020). https://doi.org/10.1134/S1054661820040227

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