Personalization of Atrial Anatomy and Electrophysiology as a Basis for Clinical Modeling of Radio-Frequency Ablation of Atrial Fibrillation

Multiscale cardiac modeling has made great advances over the last decade. Highly detailed atrial models were created and used for the investigation of initiation and perpetuation of atrial fibrillation. The next challenge is the use of personalized atrial models in clinical practice. In this study, a framework of simple and robust tools is presented, which enables the generation and validation of patient-specific anatomical and electrophysiological atrial models. Introduction of rule-based atrial fiber orientation produced a realistic excitation sequence and a better correlation to the measured electrocardiograms. Personalization of the global conduction velocity lead to a precise match of the measured P-wave duration. The use of a virtual cohort of nine patient and volunteer models averaged out possible model-specific errors. Intra-atrial excitation conduction was personalized manually from left atrial local activation time maps. Inclusion of LE-MRI data into the simulations revealed possible gaps in ablation lesions. A fast marching level set approach to compute atrial depolarization was extended to incorporate anisotropy and conduction velocity heterogeneities and reproduced the monodomain solution. The presented chain of tools is an important step towards the use of atrial models for the patient-specific AF diagnosis and ablation therapy planing.

[1]  M. Allessie,et al.  Electrical, contractile and structural remodeling during atrial fibrillation. , 2002, Cardiovascular research.

[2]  Vincent Jacquemet,et al.  Genesis of complex fractionated atrial electrograms in zones of slow conduction: a computer model of microfibrosis. , 2009, Heart rhythm.

[3]  Vincent Heuveline,et al.  Framework for Modular, Flexible and Efficient Solving the Cardiac Bidomain Equations Using PETSc , 2010 .

[4]  Thomas Fritz,et al.  Impact of Physiological Ventricular Deformation on the Morphology of the T-Wave: A Hybrid, Static-Dynamic Approach , 2011, IEEE Transactions on Biomedical Engineering.

[5]  Olaf Dössel,et al.  Ranking the Influence of Tissue Conductivities on Forward-Calculated ECGs , 2010, IEEE Transactions on Biomedical Engineering.

[6]  Vincent Jacquemet,et al.  Genesis of the P wave: atrial signals as generated by the equivalent double layer source model. , 2005, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[7]  C. Henriquez,et al.  Study of Unipolar Electrogram Morphology in a Computer Model of Atrial Fibrillation , 2003, Journal of cardiovascular electrophysiology.

[8]  Henggui Zhang,et al.  An Image-Based Model of Atrial Muscular Architecture: Effects of Structural Anisotropy on Electrical Activation , 2012, Circulation. Arrhythmia and electrophysiology.

[9]  Hervé Delingette,et al.  An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology , 2007, FIMH.

[10]  Vincent Jacquemet,et al.  An Eikonal Approach for the Initiation of Reentrant Cardiac Propagation in Reaction–Diffusion Models , 2010, IEEE Transactions on Biomedical Engineering.

[11]  M. Allessie,et al.  Gap junctional remodeling in relation to stabilization of atrial fibrillation in the goat. , 2000, Cardiovascular research.

[12]  P B Corr,et al.  Demonstration of a widely distributed atrial pacemaker complex in the human heart. , 1988, Circulation.

[13]  Olivier Ecabert,et al.  Automatic Model-Based Segmentation of the Heart in CT Images , 2008, IEEE Transactions on Medical Imaging.

[14]  Kawal S. Rhode,et al.  3-D Visualization of Acute RF Ablation Lesions Using MRI for the Simultaneous Determination of the Patterns of Necrosis and Edema , 2010, IEEE Transactions on Biomedical Engineering.

[15]  Nathalie Virag,et al.  A biophysical model of atrial fibrillation to define the appropriate ablation pattern in modified maze. , 2007, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[16]  Eric Kerfoot,et al.  Verification of cardiac tissue electrophysiology simulators using an N-version benchmark , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[17]  H. Halperin,et al.  Gaps in the Ablation Line as a Potential Cause of Recovery From Electrical Isolation and Their Visualization Using MRI , 2011, Circulation. Arrhythmia and electrophysiology.

[18]  A Robert,et al.  Human atrial repolarization: effects of sinus rate, pacing and drugs on the surface electrocardiogram. , 1999, Journal of the American College of Cardiology.

[19]  Cristian Lorenz,et al.  Modeling Atrial Fiber Orientation in Patient-Specific Geometries: A Semi-automatic Rule-Based Approach , 2011, FIMH.

[20]  Cristian Lorenz,et al.  Conduction Velocity Restitution of the Human Atrium—An Efficient Measurement Protocol for Clinical Electrophysiological Studies , 2011, IEEE Transactions on Biomedical Engineering.

[21]  O. Dossel,et al.  Adaptation of a minimal four-state cell model for reproducing atrial excitation properties , 2008, 2008 Computers in Cardiology.

[22]  Lauri Toivonen,et al.  Interatrial conduction can be accurately determined using standard 12-lead electrocardiography: validation of P-wave morphology using electroanatomic mapping in man. , 2008, Heart rhythm.

[23]  Kawal S. Rhode,et al.  Registration and tracking to integrate X-ray and MR images in an XMR Facility , 2003, IEEE Transactions on Medical Imaging.

[24]  M. Courtemanche,et al.  Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. , 1998, The American journal of physiology.

[25]  Siew Yen Ho,et al.  Substrates for intra-atrial and interatrial conduction in the atrial septum: anatomical study on 84 human hearts. , 2008, Heart rhythm.

[26]  Helko Lehmann,et al.  The Generation of Patient-Specific Heart Models for Diagnosis and Interventions , 2010, STACOM/CESC.

[27]  Olaf Dössel,et al.  Alterations of atrial electrophysiology related to hemodialysis session: insights from a multiscale computer model. , 2011, Journal of electrocardiology.

[28]  Henggui Zhang,et al.  3D virtual human atria: A computational platform for studying clinical atrial fibrillation. , 2011, Progress in biophysics and molecular biology.

[29]  A. Oosterom,et al.  Atrial Excitation Assuming Uniform Propagation , 2003 .

[30]  A. Holden,et al.  Heterogeneous three-dimensional anatomical and electrophysiological model of human atria , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[31]  J. Baerentzen,et al.  On the Implementation of Fast Marching Methods for 3d Lattices , .

[32]  J. Ruskin,et al.  HRS/EHRA/ECAS expert Consensus Statement on catheter and surgical ablation of atrial fibrillation: recommendations for personnel, policy, procedures and follow-up. A report of the Heart Rhythm Society (HRS) Task Force on catheter and surgical ablation of atrial fibrillation. , 2007, Heart rhythm.

[33]  Mathias Wilhelms,et al.  Atrial fibrillation-based electrical remodeling in a computer model of the human atrium , 2010, 2010 Computing in Cardiology.

[34]  S. Ho,et al.  Electroanatomic Analysis of Sinus Impulse Propagation in Normal Human Atria , 2002, Journal of cardiovascular electrophysiology.

[35]  V. Jacquemet,et al.  Modeling Atrial Arrhythmias: Impact on Clinical Diagnosis and Therapies , 2008, IEEE Reviews in Biomedical Engineering.

[36]  Huafeng Liu,et al.  Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials , 2010, IEEE Transactions on Biomedical Engineering.

[37]  Vincent Jacquemet,et al.  An eikonal-diffusion solver and its application to the interpolation and the simulation of reentrant cardiac activations , 2012, Comput. Methods Programs Biomed..

[38]  Helko Lehmann,et al.  euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling , 2011, Interface Focus.

[39]  D. Durrer,et al.  Total Excitation of the Isolated Human Heart , 1970, Circulation.

[40]  M. Malik,et al.  Comparison of Different Methods for Manual P Wave Duration Measurement in 12‐Lead Electrocardiograms , 1999, Pacing and clinical electrophysiology : PACE.

[41]  F. Hornero,et al.  A biophysical model of atrial fibrillation to simulate the Maze III ablation pattern , 2010, 2010 Computing in Cardiology.

[42]  N. Virag,et al.  Evaluation of Ablation Patterns Using a Biophysical Model of Atrial Fibrillation , 2005, Annals of Biomedical Engineering.

[43]  Alexander V. Panfilov,et al.  human ventricular tissue , 2007 .

[44]  Joshua J. E. Blauer,et al.  Detection and Quantification of Left Atrial Structural Remodeling With Delayed-Enhancement Magnetic Resonance Imaging in Patients With Atrial Fibrillation , 2009, Circulation.

[45]  P. Platonov,et al.  Left Atrial Posterior Wall Thickness in Patients with and without Atrial Fibrillation: Data from 298 Consecutive Autopsies , 2008, Journal of cardiovascular electrophysiology.

[46]  S Niederer,et al.  Inter-model consistency and complementarity: learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology. , 2011, Progress in biophysics and molecular biology.

[47]  Olaf Dössel,et al.  Preventive Ablation Strategies in a Biophysical Model of Atrial Fibrillation Based on Realistic Anatomical Data , 2008, IEEE Transactions on Biomedical Engineering.

[48]  Sanjay Kharche,et al.  Virtual tissue engineering of the human atrium: modelling pharmacological actions on atrial arrhythmogenesis. , 2012, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[49]  C. Henriquez,et al.  A computer model of normal conduction in the human atria. , 2000, Circulation research.

[50]  D. Sánchez-Quintana,et al.  The importance of atrial structure and fibers , 2009, Clinical anatomy.

[51]  Aslak Tveito,et al.  Synchronizing Computer Simulations with Measurement Data for a Case of Atrial Flutter , 2009, Annals of Biomedical Engineering.

[52]  Hervé Delingette,et al.  Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.