An Experimental Framework to Validate 3D Models of Cardiac Electrophysiology Via Optical Imaging and MRI

Our aim is to develop a framework to validate 3-D computer models of cardiac electrophysiology using measurements of action potential obtained via optical imaging (based on voltage-sensitive fluorescence), and heart anatomy and fiber directions which are obtained from magnetic resonance imaging (MRI). In this paper we present preliminary results of this novel framework using a healthy porcine heart ex vivo model and the Aliev & Panfilov mathematical model. This experimental setup will facilitate the testing, validation and adjustment of computational models prior to their integration into clinical applications.

[1]  Y. Rudy,et al.  Basic mechanisms of cardiac impulse propagation and associated arrhythmias. , 2004, Physiological reviews.

[2]  B. Surawicz,et al.  Cycle length effect on restitution of action potential duration in dog cardiac fibers. , 1983, The American journal of physiology.

[3]  Richard H Clayton,et al.  Dispersion of cardiac action potential duration and the initiation of re-entry: A computational study , 2005, Biomedical engineering online.

[4]  M. Nash,et al.  Electromechanical model of excitable tissue to study reentrant cardiac arrhythmias. , 2004, Progress in biophysics and molecular biology.

[5]  Hervé Delingette,et al.  Building maps of local apparent conductivity of the epicardium with a 2-D electrophysiological model of the heart , 2006, IEEE Transactions on Biomedical Engineering.

[6]  Hui-Nam Pak,et al.  Action potential duration restitution kinetics in human atrial fibrillation. , 2002, Journal of the American College of Cardiology.

[7]  A. McCulloch,et al.  Model-Based Analysis of Optically Mapped Epicardial Activation Patterns and Conduction Velocity , 2000, Annals of Biomedical Engineering.

[8]  Hervé Delingette,et al.  Preliminary Validation Using in vivo Measures of a Macroscopic Electrical Model of the Heart , 2003, IS4TH.

[9]  R. Aliev,et al.  A simple two-variable model of cardiac excitation , 1996 .

[10]  G. Salama,et al.  Optical Imaging of the Heart , 2004, Circulation research.

[11]  Matthew W. Kay,et al.  Three-dimensional surface reconstruction and panoramic optical mapping of large hearts , 2004, IEEE Transactions on Biomedical Engineering.

[12]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[13]  Maxime Sermesant,et al.  Stereo Reconstruction of the Epicardium for Optical Fluorescence Imaging , 2006 .

[14]  Blanca Rodriguez,et al.  Synthesis of voltage-sensitive optical signals: application to panoramic optical mapping. , 2006, Biophysical journal.

[15]  Frederick J Vetter,et al.  Epicardial Fiber Organization in Swine Right Ventricle and Its Impact on Propagation , 2005, Circulation research.

[16]  A V Panfilov,et al.  Modeling of heart excitation patterns caused by a local inhomogeneity. , 1996, Journal of theoretical biology.

[17]  L. Younes,et al.  Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure , 2005, Magnetic resonance in medicine.

[18]  Hervé Delingette,et al.  Surgery Simulation and Soft Tissue Modeling , 2003, Lecture Notes in Computer Science.

[19]  Frederick J Vetter,et al.  Optical Action Potential Upstroke Morphology Reveals Near-Surface Transmural Propagation Direction , 2005, Circulation research.

[20]  Hervé Delingette,et al.  An electromechanical model of the heart for image analysis and simulation , 2006, IEEE Transactions on Medical Imaging.