基于粒子的透明融合可视化在医学体积数据中的应用

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Kyoko Hasegawa, S. Ojima, Yoshiyuki Shimokubo, S. Nakata, K. Hachimura, Satoshi Tanaka
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引用次数: 18

摘要

提出了一种三维融合图像的生成方法,即体-体融合、体-曲面融合和面-曲面融合。我们的方法是基于基于粒子的渲染,它使用微小的粒子作为渲染原语。该方法仅通过合并为待融合的每个元素准备的粒子即可创建自然且可理解的3D融合图像。此外,该方法不需要沿视线进行粒子分选以实现正确的深度感。应用该方法实现了医学体数据的可理解可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PARTICLE-BASED TRANSPARENT FUSED VISUALIZATION APPLIED TO MEDICAL VOLUME DATA
This paper proposes a method to create 3D fusion images, such as volume–volume, volume–surface, and surface–surface fusion. Our method is based on the particle-based rendering, which uses tiny particles as rendering primitives. The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused. Moreover, the method does not require particle sorting along the line of sight to realize right depth feel. We apply our method to realize comprehensible visualization of medical volume data.
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来源期刊
CiteScore
2.50
自引率
16.70%
发文量
0
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