DocumentCode :
875366
Title :
Cardiac anisotropy: is it negligible regarding noninvasive activation time imaging?
Author :
Modre, Robert ; Seger, Michael ; Fischer, Gerald ; Hintermüller, Christoph ; Hayn, Dieter ; Pfeifer, Bernhard ; Hanser, Friedrich ; Schreier, Günter ; Tilg, Bernhard
Author_Institution :
Univ. for Health Sci., Med. Informatics & Technol., Tirol, Austria
Volume :
53
Issue :
4
fYear :
2006
fDate :
4/1/2006 12:00:00 AM
Firstpage :
569
Lastpage :
580
Abstract :
The aim of this study was to quantify the effect of cardiac anisotropy in the activation-based inverse problem of electrocardiography. Differences of the patterns of simulated body surface potential maps for isotropic and anisotropic conditions were investigated with regard to activation time (AT) imaging of ventricular depolarization. AT maps were estimated by solving the nonlinear inverse ill-posed problem employing spatio-temporal regularization. Four different reference AT maps (sinus rhythm, right-ventricular and septal pacing, accessory pathway) were calculated with a bidomain theory based anisotropic finite-element heart model in combination with a cellular automaton. In this heart model a realistic fiber architecture and conduction system was implemented. Although the anisotropy has some effects on forward solutions, effects on inverse solutions are small indicating that cardiac anisotropy might be negligible for some clinical applications (e.g., imaging of focal events) of our AT imaging approach. The main characteristic events of the AT maps were estimated despite neglected electrical anisotropy in the inverse formulation. The worst correlation coefficient of the estimated AT maps was 0.810 in case of sinus rhythm. However, all characteristic events of the activation pattern were found. The results of this study confirm our clinical validation studies of noninvasive AT imaging in which cardiac anisotropy was neglected.
Keywords :
bioelectric potentials; cellular automata; electrocardiography; finite element analysis; inverse problems; medical image processing; spatiotemporal phenomena; accessory pathway; bidomain theory; cardiac anisotropy; cellular automaton; electrical anisotropy; electrocardiography; finite element heart model; inverse problem; noninvasive activation time imaging; right-ventricular pacing; septal pacing; simulated body surface potential maps; sinus rhythm; spatiotemporal regularization; ventricular depolarization; Anisotropic magnetoresistance; Biomedical informatics; Conductivity; Electrocardiography; Geometry; Heart; Inverse problems; Nonuniform electric fields; Rhythm; Torso; Activation time imaging; bidomain theory; electrical anisotropy; forward problem of electrocardiography; inverse problem of electrocardiography; spatiotemporal regularization; Action Potentials; Animals; Body Surface Potential Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Heart Conduction System; Heart Ventricles; Humans; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2006.870253
Filename :
1608506
Link To Document :
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