Effect of cardiac motion on body surface electrocardiographic potentials: an MRI-based simulation study.
This paper describes an electrical model of cardiac ventricles incorporating real geometry and motion. The heart anatomy and its motion through the cardiac cycle are obtained from segmentations of multiple-slice MRI time sequences; the special conduction system is constructed using an automated mapping procedure from an existing static heart model. The heart model is mounted in an anatomically realistic voxel model of the human body. The cardiac electrical source and surface potentials are determined numerically using both a finite-difference scheme and a boundary-element method with the incorporation of the motion of the heart. The electrocardiograms (ECG) and body surface potential maps are calculated and compared to the static simulation in the resting heart. The simulations demonstrate that introducing motion into the cardiac model modifies the ECG signals, with the most obvious change occurring during the T-wave at peak contraction of the ventricles. Body surface potential maps differ in some local positions during the T-wave, which may be of importance to a number of cardiac models, including those incorporating inverse methods.
Wei
Qing
Q
School of Information Technology and Electrical Engineering, University of Queensland, Qld, Australia.
Liu
Feng
F
Appleton
Ben
B
Xia
Ling
L
Liu
Nianjun
N
Wilson
Stephen
S
Riley
Robyn
R
Strugnel
Wendy
W
Slaughter
Richard
R
Denman
Russel
R
Crozier
Stuart
S
D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000379:methods*; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods*; D004594:Electrophysiology; D006321:Heart / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D009068:Movement; D009206:Myocardium / Q000473:pathology*