Ventricular surface activation time imaging from electrocardiogram mapping data.
Non-invasive imaging of cardiac electrophysiology provides a non-invasive way of obtaining information about electrical excitation. An iterative algorithm based on a general regularisation scheme for non-linear, ill-posed problems in Hilbert scales was applied to the electrocardiographic inverse problem, imaging the ventricular surface activation time (AT) map. This method was applied to electrocardiographic data from a 31-year-old healthy volunteer and a 24-year-old patient suffering from a Wolff-Parkinson-White (WPW) syndrome. The objective was to evaluate non-invasive AT imaging of an autonomous sinus rhythm and to quantify the localisation error of non-invasive AT imaging by localising the accessory pathway of the WPW syndrome and a pacing site for left ventricle pacing. The distances between the invasive and non-invasive localisation of the pacing site and the accessory pathway were 8 mm and 5 mm. The clinical case presented, shows that this non-invasive AT imaging approach may enable the reconstruction of single focal events with sufficient accuracy for potential clinical application.
Modre
R
R
Institute for Medical Signal Processing & Imaging, University for Health Informatics & Technology Tyrol, Innsbruck, Austria. robert.modre@umit.at
Tilg
B
B
Fischer
G
G
Hanser
F
F
Messnarz
B
B
Seger
M
M
Hintringer
F
F
Roithinger
F X
FX
D000328:Adult; D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D012815:Signal Processing, Computer-Assisted; D014927:Wolff-Parkinson-White Syndrome / Q000175:diagnosis*