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001-es BibID:	BIBFORM051497
Első szerző:	Spisák Tamás (programtervező matematikus, informatikus)
Cím:	Lost in translation : voxel-wise confounding effects of motion in resting-state fMRI and whole brain connectivity analysis / T. Spisák, A. Jakab, G. Opposits, S. A. Kis, E. L. Berényi, M. Emri
Dátum:	2013
ISSN:	0968-5243
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idézhető absztrakt
Megjelenés:	Magnetic Resonance Materials In Physics Biology And Medicine. - 26 : S1 (2013), p. 302-404. -
További szerzők:	Jakab András (1985-) (radiológus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
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001-es BibID:	BIBFORM039399
Első szerző:	Spisák Tamás (programtervező matematikus, informatikus)
Cím:	BrainMOD : 4-dimensional multimodal medical image analysis software / Tamás Spisák, Sándor Attila Kis, Gábor Opposits, Imre Lajtos, László Balkay, Miklós Emri
Dátum:	2012
ISSN:	0968-5243
Megjegyzések:	Purpose of the softwareWithin the Central Nervous System Imaging project (http://www.eniac-csi.org/) of the ENIAC consortium, the need has emerged for a general multimodal visualization platform which facilitates the evaluation of data produced by new enhanced devices developed in the project. Taking advantage of multi-source post-processed data, this software aims to help interpreting complex intra-modal relationships. The modalities involved are PET, MRI, EEG, EIT.According to the project proposal, our purpose was to develop a software for interactive user-friendly 2D and 3D visualization of post-processed multi-modal medical imaging data. Important requirements were to manage dynamic image data and explicitly support the use of various enhanced brain imaging techniques.Methods / ImplementationThe input of the software are MR structural data, fMRI and PET dynamic data and activation maps (GLM, ICA), EEG/EIT based static functional maps and dynamic data, other EEG and fMRI related time series (eg. hemodynamic response functions, independent component analysis time courses), volumes-of-interests of segmentation data and EEG/EIT marker positions. Besides conventional 2D image fusion features, the software provides numerous ways to reveal intra-modal dynamic relationships. Volumes-of-interests can be delineated manually or automatically aided by various segmentation algorithms or brain atlases [1]. Time series curves can be generated from the image data and on these various operations can be performed (eg. resampling, filters, correlation, convolution).Three dimensional surfaces can be reconstructed, visualized and colored by multiple parameters (eg. dynamic functional information).The program is built upon the MultiModal Medical Imaging software library system (www.minipetct.com/m3i) and runs on Windows 7 and Windows Xp operation systems and various Linux distributions. The hardware requirements of the application match the current average PC configurations used in medical image analysis.The software system was implemented in C++.Features illustrated at the exhibitAt the exhibit the features of the software are illustrated by performing a comparsion analysis of EEG-fMRI activation maps vs. resected area and evaluating the overlap between fMRI parametric maps computed by Independent Component Analysis and standard resting-state network templates [2].References[1] T. Spisák, M. Koselák, G. Opposits, S. A. Kis, L. Trón, A. Jakab, E. Berényi, M. Emri, Region management toolkit for atlas-space image processing, MAGMA 24 (S1):543, 2011.[2] Shirer, WR and Ryali, S. and Rykhlevskaia, E. and Menon, V. and Greicius, MD,Decoding subject-driven cognitive states with whole-brain connectivity patterns, Cerebral Cortex, 22(1):158-162, 2012.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idézhető absztrakt multimodal medical image processing software
Megjelenés:	Magnetic Resonance Materials In Physics Biology And Medicine. - 25 : S1 (2012), p. 619. -
További szerzők:	Kis Sándor Attila (1973-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Lajtos Imre (1986-) (fizikus) Balkay László (1963-) (biofizikus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:	120209 FP7
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001-es BibID:	BIBFORM039400
Első szerző:	Spisák Tamás (programtervező matematikus, informatikus)
Cím:	BrainCON : software tool for graph theory based multimodal brain connectivity analysis and visualization / Tamás Spisák, Gábor Opposits, Sándor Attila Kis, Béla Clemens, Miklós Emri
Dátum:	2012
ISSN:	0968-5243
Megjegyzések:	Purpose of the software: Graph theory based structural and functional brainconnectivity analysis is a novel method providing new insights into the dynam-ics and complexity of the brain by modeling it's regional interactions[1]. Dueto the heterogeneity and dynamic development of the applied mathematicalmodels and analysis techniques the software support of this field is still poorlyaccomplished[2].Our purpose was to develop a user friendly software system dedicated for theanalysis and visualization of multimodal brain connectivity data based onEEG, fMRI and DTI data.Methods/Implementation: The software system has modular architecturewhich provides the opportunity to rapidly follow the latest improvements ofconnectivity analysis and visualization methods by incremental development.Reconstruction of brain networks is modality dependent and can be performedwith various state-of-the-art software tools, eg. BrainLOC[3], Matlab and R forfMRI, FSL or Matlab softwares for DTI and NeuroGuide for EEG-LORETAdata. These software tools can be easily fitted into the processing pipeline of thesystem. The resulting connectivity matrices can be displayed and thresholdedinteractively. Various interchangeable components are present for global (eg.small-worldness), modular (eg. community detection, modularity scores)and nodal (eg. various hub-scores) analysis of binary and weighted graphs inboth individual and population level[4]. Cost-integration[5] technique wasimplemented to solve the problem of thresholding networks. Interpreting theresults is aided by real-time 2D and 3D "galss brain" visualization techniquesand various plots.The program is built upon the MultiModal Medical Imaging software librarysystem(www.minipetct.com/m3i) and runs on Windows 7 and Windows Xpoperation systems and various Linux distributions (www.minipetct.com/braincon). The hardware requirements of the application match the currentaverage PC configurations used in medical image analysis.The software system was implemented mainly in C++ and partly in R.Features illustrated at the exhibit: At the exhibit connectivity data analysisis demonstrated using variuos modalities.Different methods are evaluated on the same data, connectivity patterns andhub-scores corresponding to brain regions are visualized in 3D.References:[1] Sporns, O., The human connectome: a complex network, Annals of theNew York Academy of Sciences, 1224(1):109-125, 2011. [2] Leergaard et.al., Mapping the Connectome: Multi-Level Analysis of Brain Connectivity,Frontiers in Neuroinformatics, 6, 2012. [3] Spisák, T. et. al., Region manage-ment toolkit for atlas-space image processing, MAGMA 24 (S1):543, 2011.[4] Rubinov, et. al., Complex network measures of brain connectivity: usesand interpretations, Neuroimage, 52(3):1059-1069, 2010. [5] Ginestet et. al.,Brain network analysis: separating cost from topology using cost-integration,PloS1, 6(7):e21570, 2011.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idézhető absztrakt brain connectivity graph theory software
Megjelenés:	Magnetic Resonance Materials In Physics Biology And Medicine. - 25 : S1 (2012), p. 616. -
További szerzők:	Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Clemens Béla (1950-) (neurológus) Emri Miklós (1962-) (fizikus)
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001-es BibID:	BIBFORM024836
Első szerző:	Spisák Tamás (programtervező matematikus, informatikus)
Cím:	Region management toolkit for atlas-space image processing / T. Spisák, M. Koselák, G. Opposits, S. A. Kis, L. Trón, A. Jakab, E. Berényi, M. Emri
Dátum:	2011
ISSN:	0968-5243 1352-8661
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idézhető absztrakt
Megjelenés:	Magnetic Resonance Materials In Physics Biology And Medicine 24 : Suppl. 1 (2011), p. 543-543. -
További szerzők:	Koselák Mihály (1986-) (informatikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Trón Lajos (1941-) (biofizikus) Jakab András (1985-) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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