Optimization-based reconstruction of depolarization of the heart

Author

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

Author_Institution

Inst. of Biomed. Eng., Karlsruhe Univ., Germany

fYear

2004

fDate

19-22 Sept. 2004

Firstpage

129

Lastpage

132

Abstract

A new noninvasive method to obtain a priori data for solving the inverse problem of electrocardiography is suggested. The method employs a personalized 3D model of the patient built from MRI data and an electrophysiological model of the patient\´s heart (cellular automaton). The distribution of body surface potentials is calculated. The simulated ECG is "recorded" and compared with that measured for the patient. The parameter values of the cellular automaton are optimized in order to obtain the best possible correspondence between measured and simulated ECGs. The method provides a set of distributions of transmembrane voltages in the myocardium. These distributions can be used as a priori data for other types of inverse problems in electrocardiography. In this way valuable information about the cardiac electrical activity is obtained.

Keywords

bioelectric potentials; biomedical MRI; biomembranes; cellular automata; electrocardiography; inverse problems; muscle; optimisation; 3D patient model; ECG; MRI data; body surface potential; cardiac electrical activity; cellular automaton; depolarization; electrocardiography; electrophysiological model; heart; inverse problem; myocardium; optimization-based reconstruction; transmembrane voltage; Automata; Biomedical engineering; Biomedical measurements; Conductors; Electrocardiography; Heart; Inverse problems; Myocardium; Thorax; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2004

Print_ISBN

0-7803-8927-1

Type

conf

DOI

10.1109/CIC.2004.1442888

Filename

1442888