Gradient vector and local distribution based volume visualization
文献类型：会议论文
| 作者 | Xiao Li; Shengzhou Luo; Jianhuang Wu; Xin Ma |
| 出版日期 | 2011 |
| 会议名称 | 2011 5th IEEE/ICME International Conference on Complex Medical Engineering |
| 会议地点 | Harbin, China |
| 英文摘要 | Transfer function design is a crucial step in direct volume rendering process. In real world datasets, different tissues may share overlap ranges of scalar values which makes distinguishing them a difficult task. In this paper, we present a novel transfer function setting in statistical space to emphasize strong boundaries in the volume data and explore local neighbourhood's intensity distribution of all the voxels. By combing the information got, an opacity transfer function is obtained. Moreover, gradient vector is another important data metric to differentiate various structures yet not been paid much attention. A color scheme is designed in RGB color space to map gradient vector to r, g, b component to not only visualize different materials but also reveal scalar value's variation in the volume. We test our method on several volumetric data and experiment shows that mean-deviation scatter plot in statistical space could reveal distribution patterns of each voxel in the volume clearer and more compact compared with intensity-gradient magnitude scatter plot. Besides, our method could effectively visualize strong boundaries and the proposed color scheme could reveal scalar value's variations in different directions thus provide users with more deep insight into the data. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3338]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Xiao Li,Shengzhou Luo,Jianhuang Wu,et al. Gradient vector and local distribution based volume visualization[C]. 见:2011 5th IEEE/ICME International Conference on Complex Medical Engineering. Harbin, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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