Fast and sleek glyph rendering for interactive HARDI data exploration
Fast and sleek glyph rendering for interactive HARDI data exploration
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用于交互式 HARDI 数据探索的快速、流畅的字形渲染
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
B. T. H. Romeny
中科院分区：
文献类型：
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作者：
T. Peeters;V. Prčkovska;M. Almsick;A. Vilanova;B. T. H. Romeny
高角分辨率扩散成像(HARDI)是一种新兴的磁共振成像(MRI)技术，它克服了其前身扩散张量成像(DTI)的一些决定性局限性。Hardi可以局部分辨水分子扩散模式中的多个方向，从而为显示和跟踪交叉纤维提供了机会。以快速、详细和交互的方式显示重建的角概率分布的局部结构可以提高这一领域的研究质量，并有助于将其应用于临床。在这篇文章中，我们提出了一种新的方法，用于Hardi字形可视化，或者更一般地，用于可视化驻留在球面上的可以用拉普拉斯级数表示的任何函数。我们的图形处理器加速的字形渲染改进了传统的Hardi字形可视化方法的性能以及重建数据的视觉质量，从而提供了对活体中脑白质局部结构的交互式Hardi数据探索。在本文中，我们利用现代GPU的能力来克服大型、处理器密集型和内存消耗大的数据可视化。
High angular resolution diffusion imaging (HARDI) is an emerging magnetic resonance imaging (MRI) technique that overcomes some decisive limitations of its predecessor diffusion tensor imaging (DTI). HARDI can resolve locally more than one direction in the diffusion pattern of water molecules and thereby opens up the opportunity to display and track crossing fibers. Showing the local structure of the reconstructed, angular probability profiles in a fast, detailed, and interactive way can improve the quality of the research in this area and help to move it into clinical application. In this paper we present a novel approach for HARDI glyph visualization or, more generally, for the visualization of any function that resides on a sphere and that can be expressed by a Laplace series. Our GPU-accelerated glyph rendering improves the performance of the traditional way of HARDI glyph visualization as well as the visual quality of the reconstructed data, thus offering interactive HARDI data exploration of the local structure of the white brain matter in-vivo. In this paper we exploit the capabilities of modern GPUs to overcome the large, processor-intensive and memory-consuming data visualization.