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Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering

文献类型：期刊论文

作者Xiang, Dehui1,2; Tian, Jie1; Yang, Fei2; Yang, Qi3; Zhang, Xing2; Li, Qingde4; Liu, Xin5,6
刊名IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
出版日期2011-09-01
卷号17期号:9页码:1295-1306
关键词Volume rendering classification skeleton cuts segmentation localized transfer function
英文摘要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 interesting 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 interesting 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 interesting structures. In addition, a localized transfer function is subsequently presented to assign visual parameters via interesting information such as intensity, thickness, and distance. As can be seen from the experimental results, the proposed techniques allow us to appropriately visualize interesting structures in highly complex volume medical data sets.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Software Engineering
研究领域[WOS]Computer Science
关键词[WOS]TRANSFER-FUNCTION DESIGN ; CLASSIFICATION ; VISUALIZATION ; EXPLORATION ; HISTOGRAMS ; ALGORITHMS
收录类别SCI
语种英语
WOS记录号WOS:000293455600010
源URL[http://ir.ia.ac.cn/handle/173211/3974]  
专题自动化研究所_中国科学院分子影像重点实验室
作者单位1.Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China
3.Capital Med Univ, Dept Radiol, Xuanwu Hosp, Beijing 100053, Peoples R China
4.Univ Hull, Dept Comp Sci, Kingston Upon Hull HU6 7RX, N Humberside, England
5.Chinese Acad Sci, Paul C Lauterbur Biomed Imaging Ctr, Inst Biomed & Hlth Engn, Shenzhen 518067, Peoples R China
6.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518067, Peoples R China
推荐引用方式
GB/T 7714		 Xiang, Dehui,Tian, Jie,Yang, Fei,et al. Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2011,17(9):1295-1306.
APA Xiang, Dehui.,Tian, Jie.,Yang, Fei.,Yang, Qi.,Zhang, Xing.,...&Liu, Xin.(2011).Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,17(9),1295-1306.
MLA Xiang, Dehui,et al."Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 17.9(2011):1295-1306.

入库方式： OAI收割

来源：自动化研究所

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