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Visualizing the beating heart: interactive direct volume rendering of high-resolution CT time series using standard PC hardware

机译:可视化跳动心脏:使用标准PC硬件的高分辨率CT时间序列的交互式直接音量渲染

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Modern multi-slice CT (MSCT) scanners allow acquisitions of 3D data sets covering the complete heart at different phases of the cardiac cycle. This enables the physician to non-invasively study the dynamic behavior of the heart, such as wall motion artifacts. To this end an interactive 4D visualization of the heart in motion is desirable. However, the application of well-known volume rendering algorithms enforces considerable sacrifices in terms of image quality to ensure interactive frame rates, even when accelerated by standard graphics processors (GPUs). Thereby, the performance of pure CPU implementations of direct volume rendering algorithms is limited even for moderate volume sizes by both the number of required computations and the available memory bandwidth. Despite of offering higher computational performance and more memory bandwidth GPU accelerated implementations cannot provide interactive visualizations of large 4D data sets since data sets that do not fit into the onboard graphics memory are often not handled efficiently. In this paper we present a software architecture for GPU-based direct volume rendering algorithms that allows the interactive high-quality visualization of large medical time series data sets. In contrast to other work, our architecture exploits the complete memory hierarchy for high cache and bandwidth efficiency. Additionally, several data-dependent techniques are incorporated to reduce the amount of volume data to be transferred and rendered. None of these techniques sacrifices image quality in order to improve speed. By applying the method to several multi phase MSCT cardiac data sets we show that we can achieve interactive frame rates on currently available standard PC hardware.
机译:现代多切片CT(MSCT)扫描仪允许采集覆盖心周期不同阶段的完整心脏的3D数据集。这使医生能够非侵入地研究心脏的动态行为,例如墙壁运动伪影。为此,期限心脏运动中的互动4D可视化是理想的。然而,众所周知的体积渲染算法的应用在图像质量方面强制了相当大的牺牲,以确保交互式帧速率,即使是由标准图形处理器(GPU)加速。因此,即使通过所需计算的数量和可用的存储器带宽的数量,直接体积渲染算法的纯CPU实现的性能也是有限的。尽管提供了更高的计算性能和更多的内存带宽GPU加速实现,但是由于不符合在板载图形存储器的数据集通常没有有效处理数据集,因此不能提供大的4D数据集的交互式可视化。在本文中,我们为基于GPU的直接卷渲染算法提供了一种软件架构,允许大型医疗时间序列数据集的交互式高质量可视化。与其他工作相比,我们的架构利用完整的内存层次结构进行高缓存和带宽效率。另外,掺入了几种数据相关的技术,以减少要转移和呈现的体积数据量。这些技术都没有牺牲图像质量以提高速度。通过将方法应用于几个多相MSCT心脏数据集,我们显示我们可以在现有可用的标准PC硬件上实现交互式帧速率。

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