GPU-based high performance wave propagation simulation of ischemia in anatomically detailed ventricle

In this study, we present a framework to simulate multi-scale wave propagation of ischemia which leverages the high-performance computing capacity of Graphic Processing Units (GPU). To cope with the no-flux boundary condition and address the branch deficiency, a phase-field method is employed. An on-the-fly visualization method of two dimensional simulation results is proposed. A fusion volume visualization method of both simulation result and anatomy structure data is provided to show ischemia with supporting spatial information in the heart. The experimental results show that the speedup of our GPU-based simulation method is about at least 20 times faster than that of conventional CPU-based simulation method.

[1]  Gernot Plank,et al.  Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Stefan Bruckner,et al.  Information-based Transfer Functions for Multimodal Visualization , 2008, VCBM.

[3]  Erik Lindholm,et al.  NVIDIA Tesla: A Unified Graphics and Computing Architecture , 2008, IEEE Micro.

[4]  Daisuke Sato,et al.  Acceleration of cardiac tissue simulation with graphic processing units , 2009, Medical & Biological Engineering & Computing.

[5]  David P. Luebke,et al.  CUDA: Scalable parallel programming for high-performance scientific computing , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[6]  WM Zuo,et al.  Simulation of effects of ischemia in 3D human ventricle , 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

[7]  Alexander V. Panfilov,et al.  Reentry in an Anatomical Model of the Human Ventricles , 2003, Int. J. Bifurc. Chaos.

[8]  F. Fenton,et al.  Modeling wave propagation in realistic heart geometries using the phase-field method. , 2005, Chaos.

[9]  Víctor M. Pérez-García,et al.  Spectral Methods for Partial Differential Equations in Irregular Domains: The Spectral Smoothed Boundary Method , 2006, SIAM J. Sci. Comput..

[10]  William J. Dally,et al.  The GPU Computing Era , 2010, IEEE Micro.

[11]  D. Noble,et al.  A model for human ventricular tissue. , 2004, American journal of physiology. Heart and circulatory physiology.