Xiang Dehui, Tian Jie, Yang Fei, Yang Qi, Zhang Xing, Li Qingde, Liu Xin
IEEE Trans Vis Comput Graph. 2011 Sep;17(9):1295-306. doi: 10.1109/TVCG.2010.239. Epub 2010 Nov 9.
Volume rendering has long been used as a key technique for volume data visualization, which works by using a transfer function to map color and opacity to each voxel. Many volume rendering approaches proposed so far for voxels classification have been limited in a single global transfer function, which is in general unable to properly visualize interested structures. In this paper, we propose a localized volume data visualization approach which regards volume visualization as a combination of two mutually related processes: the segmentation of interested structures and the visualization using a locally designed transfer function for each individual structure of interest. As shown in our work, a new interactive segmentation algorithm is advanced via skeletons to properly categorize interested structures. In addition, a localized transfer function is subsequently presented to assign optical parameters via interested information such as intensity, thickness and distance. As can be seen from the experimental results, the proposed techniques allow to appropriately visualize interested structures in highly complex volume medical data sets.
体绘制长期以来一直被用作体数据可视化的关键技术，它通过使用传递函数将颜色和不透明度映射到每个体素上。到目前为止，许多针对体素分类提出的体绘制方法都局限于单个全局传递函数，而该函数通常无法正确地可视化感兴趣的结构。在本文中，我们提出了一种局部体数据可视化方法，该方法将体可视化视为两个相互关联的过程的组合：感兴趣结构的分割以及为每个感兴趣的个体结构使用局部设计的传递函数进行可视化。如我们的工作所示，通过骨架推进了一种新的交互式分割算法，以对感兴趣的结构进行正确分类。此外，随后提出了一种局部传递函数，通过诸如强度、厚度和距离等感兴趣的信息来分配光学参数。从实验结果可以看出，所提出的技术能够在高度复杂的体医学数据集中适当地可视化感兴趣的结构。
