DocumentCode
863539
Title
Postprocessing of 3-D current density reconstruction results with equivalent ellipsoids
Author
Ziolkowski, Marek ; Haueisen, Jens ; Leder, Uwe
Author_Institution
Electr. Eng. Dept., Tech. Univ. Szczecin, Poland
Volume
49
Issue
11
fYear
2002
Firstpage
1379
Lastpage
1384
Abstract
A method of postprocessing and visualizing three-dimensional vector fields, such as current density reconstruction results, is presented. This method is based on equivalent ellipsoids fitted to the vector fields. The technique has been tested with simulated data and current density reconstructions based on bioelectromagnetic data obtained from a physical thorax phantom. Three different approaches based on: (1) longest distance; (2) dominant direction; and (3) principal component analysis, for fitting the equivalent ellipsoids are proposed. Multiple foci in vector fields are extracted by multiple ellipsoids which are fitted iteratively. The method enables statistical postprocessing for the sake of comparisons of different source reconstructions algorithms or comparisons of groups of patients or volunteers.
Keywords
current density; electrocardiography; electroencephalography; inverse problems; iterative methods; magnetocardiography; magnetoencephalography; medical image processing; bioelectromagnetic data; biomedical electromagnetic imaging; current density reconstruction results; dominant direction; equivalent ellipsoids; iterative fitting; longest distance; medical diagnostic imaging; multiple foci; patient groups; physical thorax phantom; principal component analysis; source reconstructions algorithms; statistical postprocessing; three-dimensional vector fields; volunteers; Bioinformatics; Current density; Data mining; Data visualization; Ellipsoids; Imaging phantoms; Principal component analysis; Reconstruction algorithms; Testing; Thorax; Abdomen; Algorithms; Back; Body Surface Potential Mapping; Brain Mapping; Computer Simulation; Electromagnetic Fields; Electrophysiology; Humans; Imaging, Three-Dimensional; Models, Biological; Models, Statistical; Phantoms, Imaging; Principal Component Analysis; Thorax;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2002.804580
Filename
1046948
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