首页> 外文会议>Visualization, Image-Guided Procedures, and Display; Progress in Biomedical Optics and Imaging; vol.7,no.27 >Visualizing the Beating Heart: Interactive Direct Volume Rendering of High-Resolution CT Time Series Using Standard PC Hardware
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Visualizing the Beating Heart: Interactive Direct Volume Rendering of High-Resolution CT Time Series Using Standard PC Hardware

机译:可视化心脏跳动:使用标准PC硬件进行高分辨率CT时间序列的交互式直接体积渲染

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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:现代的多层CT(MSCT)扫描仪可在心动周期的不同阶段采集覆盖整个心脏的3D数据集。这使医生能够无创地研究心脏的动态行为,例如壁运动伪影。为此,期望运动中的心脏的交互式4D可视化。但是,即使在使用标准图形处理器(GPU)加速的情况下,众所周知的体绘制算法的应用也会在图像质量方面做出重大牺牲,以确保交互式帧频。因此,即使对于中等大小的卷,直接卷渲染算法的纯CPU实现的性能也受到所需计算数量和可用内存带宽的限制。尽管提供了更高的计算性能和更多的内存带宽,但GPU加速的实现无法提供大型4D数据集的交互式可视化效果,因为通常无法有效地处理不适合板载图形内存的数据集。在本文中,我们介绍了基于GPU的直接体绘制算法的软件体系结构,该算法可对大型医疗时间序列数据集进行交互式高质量可视化。与其他工作相比,我们的体系结构利用完整的内存层次结构来提高缓存和带宽效率。此外,还引入了数种与数据相关的技术,以减少要传输和呈现的体数据量。这些技术都没有牺牲图像质量来提高速度。通过将该方法应用于多个多阶段MSCT心脏数据集,我们表明我们可以在当前可用的标准PC硬件上实现交互式帧速率。

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