¹School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
²School of Art and Design, Harbin University, Harbin 150086, China

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Abstract—Cardiac electrophysiological simulation and multi-modality visualization are computationally intensive and valuable in studying the structure, mechanism, and dynamics of heart. The existing multi-CPU based approaches can reduce the calculation time, but suffer from the hardware and communication cost problems and are inefficient for 3D data visualization. Compared with multi-CPU, the highly parallel and multi-core properties of GPU make it a suitable alternative for accelerating cardiac simulation and visualization. In this paper, we develop a G-Heart system where GPU-based acceleration technologies are adopted for both the simulation of cardiac electrophysiological activities and the online illustration 3D multi-modality (anatomical and electrophysiological) data. In the simulation stage, a phase-field method is employed to cope with the no-flux boundary condition. For heart geometrical structure illustration, a GPU-based ray-casting volume rendering algorithm is implemented and an improved context-preserving model with user interaction is integrated into the proposed framework. Finally, a fusion visualization method is proposed, which can provide 3D visualization results for both the simulation data and the anatomical data simultaneously.

Index Terms—visualization, heart modelling, electrophysiological simulation, CUDA, GPGPU

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Cite: Lei Zhang, Kuanquan Wang, Wangmeng Zuo, Changqing Gai, "G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization," Journal of Computers vol. 9, no. 2, pp. 360-367, 2014.