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GRCVS: A GPU-based and real-time cardiac visualization system

机译：GRCVS：基于GPU的实时心脏可视化系统

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摘要

Visualization is very useful for the study of the heart, but it is still a challenging work to display the detailed heart because of the complex structure and expensive computation. Very few systems have been developed to satisfy this work specially. In this paper, we designed and implemented a GPU-based and real-time cardiac visualization system (GRCVS). The illumination model and the context-preserving model are integrated into the system, so that it can generate better images and preserve the important boundary information at the same time. The rendering process is programmed with CUDA, which helps to view the final image in real time. The system also provides strong interactive ability: it supplies visual and concise interfaces to set various parameters which are used to adjust image effect and user can also use simple ways to observe the images quickly and conveniently. The system has been proved to be valuable for the study of the heart in biomedical field.
机译：可视化对于心脏的研究非常有用，但是由于其复杂的结构和昂贵的计算，显示详细的心脏仍然是一项艰巨的工作。很少有系统可以专门满足这项工作。在本文中，我们设计并实现了基于GPU的实时心脏可视化系统（GRCVS）。照明模型和上下文保存模型被集成到系统中，从而可以生成更好的图像并同时保留重要的边界信息。渲染过程使用CUDA进行编程，这有助于实时查看最终图像。该系统还具有强大的交互能力：它提供直观简洁的界面来设置用于调整图像效果的各种参数，用户还可以使用简单的方法快速方便地观察图像。该系统已被证明对于生物医学领域的心脏研究非常有价值。

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