Real-Time and Realistic Simulation for Cardiac Intervention with GPU

Yu, Renbo; Zhang, Sanyuan; Chiang, Patricia; Cai, Yiyu; Zheng, Jianmin

doi:10.1109/iccms.2010.499

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…We have built a simulating system for cardiac intervention [16][17][18] . In our solution, boundary of heart lumens are detected by utilizing voxel, catheter deformation simulated by FEM method, is accelerated by GPU pipeline based algorithms, and achieves real-time performance.…”

Section: B Our Workmentioning

confidence: 99%

GPU Accelerated Simulation of Cardiac Activities

Yu¹,

Zhang²,

Zhang³

et al. 2010

JCP

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<p>Much efforts have been made to develop realistic cardiac models for clinical and research purposes. However, to implement these models always needs to handle excessive computational loads due to the complex and dynamic natures of the heart given limited computational power of Central Processing Unit (CPU). In this paper, a real-time approach to cardiac modeling is proposed based on the Graphics Processing Unit (GPU). A hardware platform is first designed and tested with a simplified model to represent the cardiac activities. Motion of mesh-based heart is then approximated to simulate the movement of each vertex. Time functions are used within the GPU platform to describe the cardiac cycle. The parallel computing feature of GPU platform significantly speeds up the computation process in real-time with over 140,000 vertices motion based on the time functions. The program is developed on top of CUDA architecture proposed and developed by nVIDIA. Computational Experiments show visualization of the cardiac dynamics is significantly benefiting from this new solution. Further improvement of the GPU based cardiac simulation is discussed.</p>

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Section: B Our Workmentioning

confidence: 99%

GPU Accelerated Simulation of Cardiac Activities

Yu¹,

Zhang²,

Zhang³

et al. 2010

JCP

Self Cite

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“…GPUs also have been used for intracellular calcium dynamics within a single cell using Monte Carlo simulations, where a factor of 15,000 reduction in time compared to previous studies was found [16]. In addition to electrophysiological dynamics, GPUs have been used to accelerate heart manipulations to enhance intervention simulations such as catheter positioning [43], surgical deformation [26], simple contractions [42,44], and ECG generation [36,37].…”

Section: Related Workmentioning

confidence: 99%

Toward real-time simulation of cardiac dynamics

Bartocci

Cherry

Glimm

et al. 2011

Proceedings of the 9th International Conference on Computational Methods in Systems Biology

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We show that through careful and model-specific optimizations of their GPU implementations, simulations of realistic, detailed cardiac-cell models now can be performed in 2D and 3D in times that are close to real time using a desktop computer. Previously, large-scale simulations of detailed mathematical models of cardiac cells were possible only using supercomputers. In our study, we consider five different models of cardiac electrophysiology that span a broad range of computational complexity: the two-variable Karma model, the four-variable Bueno-Orovio-Cherry-Fenton (BCF) model, the eight-variable Beeler-Reuter (BR) model, the 19-variable Ten Tusscher-Panfilov (TP) model, and the 67-variable Iyer-Mazhari-Winslow(IMW) model. For each of these models, we treat both their single-and double-precision versions and demonstrate linear or even sub-linear growth in simulation times with an increase in the size of the grid used to model cardiac tissue. We also show that our GPU implementations of these models can increase simulation speeds to near real-time for simulations of complex spatial patterns indicative of cardiac arrhythmic disorders, including spiral waves and spiral wave breakup. The achievement of real-time applications without the need for supercomputers may facilitate the adoption of modeling-based clinical diagnostics and treatment planning, including patient-specific electrophysiological studies, in the near future.

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