Multi-feature Based Transfer Function Design for 3D Medical Image Visualization

被引：1
|
作者：
Peng, Yi [1 ]
Chen, Li [1 ]
机构：
[1] Tsinghua Univ, Sch Software, Inst CG, Beijing 100084, Peoples R China
来源：
2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7 | 2010年
基金：
美国国家科学基金会;
关键词：
Multi-feature; statistical analysis; pre-segmentation; transfer function; volume rendering; visualization;
D O I：
10.1109/BMEI.2010.5639553
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Visualization of three dimensional volumetric medical data has been widely used. Even though, it still faces a lot of challenges, such as helping users find out structure of their interest, illustrating features which are significant for diagnosis of disease. In our paper, a multi-feature based transfer function is provided to improve the quality of visualization. We compute a multi-feature descriptor for both two-phase clustering and transfer function design. Moreover, we test the transfer function on several medical datasets to show the efficiency and practicability of our method.
引用
收藏
页码：410 / 413
页数：4
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