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
Link To Document :
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