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首页> 外文会议>Computational Imaging V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6498; Electronic Imaging Science and Technology >GPU-Based Visualization Techniques for 3D Microscopic Imaging Data
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GPU-Based Visualization Techniques for 3D Microscopic Imaging Data

机译：基于GPU的3D显微成像数据可视化技术

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摘要

Three-dimensional (3D) microscopic imaging techniques such as confocal microscopy have become a common tool in measuring cellular structures. While computer volume visualization has advanced into a sophisticated level in medical applications, much fewer studies have been made on data acquired by the 3D microscopic imaging techniques. To optimize the visualization of such data, it is important to consider the data characteristics such as thin data volume. It is also interesting to apply the new GPU (graphics processing unit) technology to interactive volume rendering of the data. In this paper, we discuss several texture-based techniques to visualize confocal microscopy data by considering the data characteristics and with support of GPU. One simple technique generates one set of 2D textures along the axial direction of image acquisition. An improved technique uses three sets of 2D textures in the three principal directions, and creates the rendered image via a weighted sum of the images generated by blending the individual texture sets. In addition, we propose a new approach based on stencil such that textures are blended based on a stencil control. Given the viewing condition, a texel needs to be drawn only when its corresponding projection on the image plane is inside a stencil area. Finally, we have explored the use of multiple-channel datasets for flexible classification of objects. These studies are useful to optimize the visualization of 3D microscopic imaging data.
机译：诸如共聚焦显微镜的三维（3D）显微成像技术已成为测量细胞结构的常用工具。尽管计算机体积的可视化已在医疗应用中发展到了复杂的水平，但对通过3D显微成像技术获取的数据的研究却很少。为了优化此类数据的可视化，重要的是要考虑数据特征，例如精简数据量。将新的GPU（图形处理单元）技术应用于数据的交互式体绘制也很有趣。在本文中，我们讨论了几种基于纹理的技术，通过考虑数据特性并在GPU的支持下可视化共聚焦显微镜数据。一种简单的技术沿图像采集的轴向方向生成一组2D纹理。一种改进的技术在三个主要方向上使用三组2D纹理，并通过混合各个纹理集所生成图像的加权总和来创建渲染图像。另外，我们提出了一种基于模板的新方法，即基于模板控件混合纹理。在给定观看条件的情况下，仅当纹理像素在图像平面上的相应投影在模板区域内时才需要绘制纹理像素。最后，我们探索了使用多通道数据集进行对象的灵活分类。这些研究对于优化3D显微成像数据的可视化很有用。

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