Összesen 1 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM046010
Első szerző:Spisák Tamás (programtervező matematikus, informatikus)
Cím:BrainMOD : 4-dimensional multimodal medical image analysis software / Spisák Tamás, Opposits Gábor, Kis Sándor Attila, Lajtos Imre, Krizsán Áron, Pohubi László, Balkay László, Emri Miklós
Dátum:2013
Megjegyzések:PurposeWithin 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 intramodal 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 multimodal medical imaging data. Important requirements were to manage dynamic image data and explicitly support the use of various enhanced brain imaging techniques.MethodsThe 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 intramodal 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, wavelet, multiresolution analysis). Three dimensional surfaces can be reconstructed, visualized and colored by multiple parameters (eg. dynamic functional information).The software system was implemented in C++.Results and conclusionThe 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. Due to the advanced VOI and time-series analysis features, the comprehensive file IO component and the compatibility with third party software tools, BrainMOD provides a useful user friendly alternative among software tools in medical image processing.
Tárgyszavak:Orvostudományok Klinikai orvostudományok előadáskivonat
software
medical imaging
Megjelenés:Electronic presentation online system : ECR Congress 2013 / [ed. ESR]. - p. C-2586.
További szerzők:Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Lajtos Imre (1986-) (fizikus) Krizsán Áron Krisztián (1986-) (fizikus) Pohubi László (1959-) (fizikus) Balkay László (1963-) (biofizikus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0001
TÁMOP
TÁMOP-4.2.2/B-10/1-2010-0024
TÁMOP
ENIAC CSI (No.120209)
Egyéb
Internet cím:http://posterng.netkey.at/esr/online_viewing/index.php?module=view_postercoverpage&task=viewcoverpage&pi=115811
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1