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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 >An Efficient Out-of-Core Volume Ray Casting Method for the Visualization of Large Medical Data Sets
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An Efficient Out-of-Core Volume Ray Casting Method for the Visualization of Large Medical Data Sets

机译：大型医疗数据集可视化的有效核外体积射线投射方法

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摘要

Volume ray casting algorithm is widely recognized for high quality volume visualization. However, when rendering very large volume data sets, the original ray casting algorithm will lead to very inefficient random accesses in disk and make it very slowly to render the whole volume data set. In order to solve this problem, an efficient out-of-core volume ray casting method with a new out-of-core framework for processing large volume data sets based on consumer PC hardware is proposed in this paper. The new framework gives a transparent and efficient access to the volume data set cached in disk, while the new volume ray casting method minimizes the data exchange between hard disk and physical memory and performs comparatively fast high quality volume rendering. The experimental results indicate that the new method and framework are effective and efficient for the visualization of very large medical data sets.
机译：体积射线投射算法已被公认为高质量的体积可视化。但是，当渲染非常大的体积数据集时，原始的射线投射算法将导致磁盘中非常低效的随机访问，并使渲染整个体积数据集的速度非常慢。为了解决这个问题，本文提出了一种有效的核外体射线投射方法，该方法具有一种新的核外框架，可基于消费类PC硬件处理大量数据集。新的框架提供了对磁盘中缓存的体数据集的透明有效访问，而新的体射线投射方法最大程度地减少了硬盘和物理内存之间的数据交换，并执行了相对快速的高质量体绘制。实验结果表明，该新方法和框架对于大型医疗数据集的可视化是有效的。

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