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G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization

Lei Zhang, Kuanquan Wang, Wangmeng Zuo, Changqing Gai
School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
Journal of Computers, Vol 9, No 2, 360-367, 2014

@article{zhang2014g,

   title={G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization},

   author={Zhang, Lei and Wang, Kuanquan and Zuo, Wangmeng and Gai, Changqing},

   journal={Journal of Computers},

   volume={9},

   number={2},

   pages={360–367},

   year={2014}

}

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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.
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