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

页码：410 / 413

页数：4

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