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Issue No. 09 - September (2011 vol. 17)
ISSN: 1077-2626
pp: 1295-1306
Dehui Xiang , Chinese Academy of Sciences, Beijing
Jie Tian , Chinese Academy of Sciences, Beijing
Fei Yang , Chinese Academy of Sciences, Beijing
Qi Yang , Capital Medical University, Beijing
Xing Zhang , Chinese Academy of Sciences, Beijing
Qingde Li , University of Hull, Hull
Xin Liu , Chinese Academy of Science, Shenzhen
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.
Volume rendering, classification, segmentation, skeleton cuts, localized transfer function

F. Yang et al., "Skeleton Cuts—An Efficient Segmentation Method for Volume Rendering," in IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 1295-1306, 2010.
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