Imaging of Bioelectric Sources in the Heart Using a Cellular Automaton Model

Author

Dössel, O. ; Bauer, W.R. ; Farina, D. ; Kaltwasser, C. ; Skipa, O.

Author_Institution

Inst. of Biomed. Eng., Karlsruhe Univ.

fYear

2006

Firstpage

1067

Lastpage

1070

Abstract

The approach to solve the inverse problem of electrocardiography presented here is using a computer model of the individual heart of a patient. It is based on a 3D-MRI dataset. Electrophysiologically important tissue classes are incorporated using rules. Source distributions inside the heart are simulated using a cellular automaton. Finite element method is used to calculate the corresponding body surface potential map. Characteristic parameters like duration and amplitude of transmembrane potential or velocity of propagation are optimized for selected tissue classes or regions in the heart so that simulated data fit to the measured data. This way the source distribution and its time course of an individual patient can be reconstructed

Keywords

bioelectric potentials; biomedical MRI; cellular automata; electrocardiography; finite element analysis; image reconstruction; inverse problems; medical image processing; 3D-MRI dataset; bioelectric source imaging; body surface potential map; cellular automaton model; electrocardiography; finite element method; heart; inverse problem; propagation velocity; source distribution reconstruction; transmembrane potential; Automata; Bioelectric phenomena; Computational modeling; Electric potential; Electrocardiography; Finite element methods; Heart; Inverse problems; Surface fitting; Velocity measurement; Body Surface Potential Mapping; Computermodel; Electrocardiography; Inverse problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1616603

Filename

1616603