Paper
15 May 2003 Model-based imaging of cardiac electrical function in human atria
Robert Modre, Bernhard Tilg, Gerald Fischer, Friedrich Hanser, Bernd Messnarz, Michael F. H. Schocke, Christian Kremser, Florian Hintringer, Franz Roithinger M.D.
Author Affiliations +
Abstract
Noninvasive imaging of electrical function in the human atria is attained by the combination of data from electrocardiographic (ECG) mapping and magnetic resonance imaging (MRI). An anatomical computer model of the individual patient is the basis for our computer-aided diagnosis of cardiac arrhythmias. Three patients suffering from Wolff-Parkinson-White syndrome, from paroxymal atrial fibrillation, and from atrial flutter underwent an electrophysiological study. After successful treatment of the cardiac arrhythmia with invasive catheter technique, pacing protocols with stimuli at several anatomical sites (coronary sinus, left and right pulmonary vein, posterior site of the right atrium, right atrial appendage) were performed. Reconstructed activation time (AT) maps were validated with catheter-based electroanatomical data, with invasively determined pacing sites, and with pacing at anatomical markers. The individual complex anatomical model of the atria of each patient in combination with a high-quality mesh optimization enables accurate AT imaging, resulting in a localization error for the estimated pacing sites within 1 cm. Our findings may have implications for imaging of atrial activity in patients with focal arrhythmias.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Modre, Bernhard Tilg, Gerald Fischer, Friedrich Hanser, Bernd Messnarz, Michael F. H. Schocke, Christian Kremser, Florian Hintringer, and Franz Roithinger M.D. "Model-based imaging of cardiac electrical function in human atria", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480127
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KEYWORDS
Electrocardiography

Associative arrays

Data modeling

Magnetic resonance imaging

Electrodes

Heart

Photovoltaics

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