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首页> 外文会议>Visualization, Image-Guided Procedures pt.2; Progress in Biomedical Optics and Imaging; vol.8 no.28; Proceedings of SPIE-The International Society for Optical Engineering; vol.6509 pt.2 >Interactive Segmentation and Visualization of Large Volume Datasets using Graphics Hardware-based Level Set Method
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Interactive Segmentation and Visualization of Large Volume Datasets using Graphics Hardware-based Level Set Method

机译：使用基于图形硬件的水平集方法对大数据集进行交互式分割和可视化

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This paper presents an efficient graphics hardware-based method to segment and visualize level-set surfaces as interactive rates. Our method is composed of page manager, level-set solver, and volume renderer. The page manager which performs in CPU generates page table, inverse page table and available page stack as well as processes the activation and inactivation of pages. The level-set solver computes only voxels near the iso-surface. To run efficiently on GPUs, volume is decomposed into a set of small pages. Only those pages with non-zero derivatives are stored on GPU. These active pages are packed into a large 2D texture memory. The level-set partial differential equation (PDE) is computed directly on this packed format. The page manager is used to help managing the packing of the active data. The volume renderer performs volume rendering of the original data simultaneously with the evolving level set in GPU. Experimental results using two chest CT datasets show that our graphics hardware-based level-set method is much faster than software-based one.
机译：本文提出了一种有效的基于图形硬件的方法来将水平集曲面分割和可视化为交互速率。我们的方法由页面管理器，级别集求解器和体积渲染器组成。在CPU中执行的页面管理器生成页面表，反向页面表和可用页面堆栈，并处理页面的激活和非激活。水平集求解器仅计算等值面附近的体素。为了在GPU上高效运行，将卷分解为一组小页面。只有那些具有非零导数的页面才会存储在GPU上。这些活动页面被打包到大型2D纹理存储器中。水平集偏微分方程（PDE）是直接根据这种压缩格式计算的。页面管理器用于帮助管理活动数据的打包。体积渲染器与GPU中设置的演进级别同时执行原始数据的体积渲染。使用两个胸部CT数据集的实验结果表明，我们基于图形硬件的水平集方法比基于软件的水平集方法快得多。

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