Top

Pattern Recognition and Image Analysis

Published in:

01-10-2020 | PATTERN RECOGNITION AND IMAGE ANALYSIS AUTOMATED SYSTEMS, HARDWARE AND SOFTWARE

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

Authors: S. D. Rykunov, E. S. Oplachko, M. N. Ustinin

Published in: Pattern Recognition and Image Analysis | Issue 4/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

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.

previous article Formation of Images Based on the Sensor Data of Robots

next article Deep Learning Based Approach of Emotion Detection and Grading System

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

J. Sarvas, “Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem,” Phys. Med. Biol. 32 (1), 11–22 (1987). https://doi.org/10.1088/0031-9155/32/1/004CrossRef

J. C. Mosher, P. S. Lewis, and R. M. Leahy, “Multiple dipole modeling and localization from spatio-temporal MEG data,” IEEE Trans. Biomed. Eng. 39 (6), 541–557 (1992). https://doi.org/10.1109/10.141192CrossRef

Uutela, K., Hamalainen, M., and Salmelin, R., “Global optimization in the localization of neuromagnetic sources,” IEEE Trans. Biomed. Eng. 45 (6), 716–723 (1998). https://doi.org/10.1109/10.678606CrossRef

J. A. Nelder and R. Mead, “A simplex method for function minimization,” Comput. J. 7 (4), 308–313 (1965). https://doi.org/10.1093/comjnl/7.4.308MathSciNetCrossRefMATH

J. Onton, M. Westerfield, J. Townsend, and S. Makeig, “Imaging human EEG dynamics using independent component analysis,” Neurosci. Biobehav. Rev. 30 (6), 808–822 (2006). https://doi.org/10.1016/j.neubiorev.2006.06.007CrossRef

F. L. Foresta, N. Mammone, and F. C. Morabito, “PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring,” Biomed. Signal Process. Control 4, 229–235 (2009).CrossRef

V. Litvak, A. Eusebio, A. Jha, et al., “Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients,” Neuroimage 50 (4), 1578–1588 (2010). https://doi.org/10.1016/j.neuroimage.2009.12.115CrossRef

R. D. Pascual-Marqui, “Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical details,” Methods Find. Exp. Clin. Pharm. 24 (D), 5–12 (2002).

R. Oostenveld, P. Fries, E. Maris, and J. M. Schoffelen, “FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data,” Comput. Intell. Neurosci. 2011, 156869 (2011). https://doi.org/10.1155/2011/156869CrossRef

10.

A. Stolk, A. Todorovic, J. M. Schoffelen, and R. Oostenveld, “Online and offline tools for head movement compensation in MEG,” Neuroimage 68, 39–48 (2013). https://doi.org/10.1016/j.neuroimage.2012.11.047CrossRef

11.

P. E. Aguera, K. Jerbi, A. Caclin, and O. Bertrand, “ELAN: A software package for analysis and visualization of MEG, EEG, and LFP signals,” Comput. Intell. Neurosci. 2011, 158970 (2011). https://doi.org/10.1155/2011/158970CrossRef

12.

F. Tadel, S. Baillet, J. C. Mosher, D. Pantazis, and R. M. Leahy, “Brainstorm: A user-friendly application for MEG/EEG analysis,” Comput. Intell. Neurosci. 2011, 879716 (2011). https://doi.org/10.1155/2011/879716CrossRef

13.

R. R. Llinás and M. N. Ustinin, “Frequency-pattern functional tomography of magnetoencephalography data allows new approach to the study of human brain organization,” Front. Neural Circuits 8, 43 (2014). https://doi.org/10.3389/fncir.2014.00043CrossRef

14.

R. R. Llinás, M. N. Ustinin, S. D. Rykunov, A. I. Boyko, V. V. Sychev, K. D. Walton, G. M. Rabello, and Garcia, J., “Reconstruction of human brain spontaneous activity based on frequency-pattern analysis of magnetoencephalography data,” Front. Neurosci. 9, 373 (2015). https://doi.org/10.3389/fnins.2015.00373CrossRef

15.

M. Frigo and S. G. Johnson, “The design and implementation of FFTW3,” Proc. IEEE 93 (2), 216–231 (2005). https://doi.org/10.1109/JPROC.2004.840301CrossRef

16.

A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines, “A blind source separation technique using second-order statistics,” IEEE Trans. Signal Process. 45, 434–444 (1997). https://doi.org/10.1109/78.554307CrossRef

17.

J. Sarvas, “Basic mathematical and electromagnetic concepts of the biomagnetic inverseproblem,” Phys. Med. Biol. 32, 11–22 (1987). https://doi.org/10.1088/0031-9155/32/1/004CrossRef

18.

S. van der Walt, S. C. Colbert, and G. Varoquaux, “The NumPy Array: A structure for efficient numerical computation,” Comput. Sci. Eng. 13 (2), 22–30 (2011). https://doi.org/10.1109/MCSE.2011.37CrossRef

19.

J. D. Hunter, “Matplotlib: A 2D graphics environment,” Comput. Sci. Eng. 9 (3), 90–95 (2007). https://doi.org/10.1109/MCSE.2007.55CrossRef

20.

P. Ramachandran and G. Varoquaux, “Mayavi: 3D visualization of scientific data,” Comput. Sci. Eng. 13 (2), 40–51 (2011). https://doi.org/10.1109/MCSE.2011.35CrossRef

21.

W. Schroeder, K. Martin, and B. Lorensen, The Visualization Toolkit, 4th ed. (Kitware, 2006).

22.

G. Niso, C. Rogers, J. T. Moreau, L. Y. Chen, C. Madjar, S. Das, E. Bock, F. Tadel, A. Evans, P. Jolicoeur, and S. Baillet, “OMEGA: The Open MEG Archive,” Neuroimage 124, 1182–1187 (2015). https://doi.org/10.1016/j.neuroimage.2015.04.028CrossRef

Title: FTViewer Application for Analysis and Visualization of Functional Tomograms of Complex Systems
Authors: S. D. Rykunov
E. S. Oplachko
M. N. Ustinin
Publication date: 01-10-2020
Publisher: Pleiades Publishing
Published in: Pattern Recognition and Image Analysis / Issue 4/2020
Print ISSN: 1054-6618
Electronic ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661820040227

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 4/2020

Automatic Segmentation and Analysis of Renal Calculi in Medical Ultrasound Images

Taxonomy of Performance Measures for Contrast Enhancement

Image Classification by Mixed Finite Element Method and Orthogonal Legendre Moments

Time-Aware Social Hierarchical Poisson Factorization for Personalized Recommendation

Image Captioning using Reinforcement Learning with BLUDEr Optimization

Computational Approaches to Aesthetic Quality Assessment of Digital Photographs: State of the Art and Future Research Directives

Premium Partner