Interactive transfer function control for Monte Carlo volume rendering
Interactive transfer function control for Monte Carlo volume rendering
复制标题
蒙特卡洛体积渲染的交互式传递函数控制
DOI：
10.1109/svvg.2004.6
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
B. Csébfalvi
中科院分区：
文献类型：
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作者：
B. Csébfalvi
虽然蒙特卡罗体绘制（MCVR）是一种有效的基于点的技术，用于生成模拟的X射线图像从大的CT数据，其在医学成像系统的实际应用是有限的相对昂贵的预处理。图像的质量受到传递函数的强烈影响，传递函数将数据值映射到采样概率上。适当的传递函数将点样本集中到感兴趣区域上。由于它是数据相关的，因此需要进行精细的参数调整。然而，每当传递函数参数被修改时，必须重复昂贵的预处理。在本文中，提出了一种新的预处理算法的MCVR，它允许在渲染阶段的交互式传递函数控制，在几秒钟内提供视觉反馈。为了根据修正后的传递函数快速地重新计算点样本，采用了一种有效的混合采样策略，该策略结合了概率蒙特卡罗采样和确定性准蒙特卡罗采样的优点。
Although Monte Carlo volume rendering (MCVR) is an efficient point-based technique for generating simulated X-ray images from large CT data, its practical application in medical imaging systems is limited by the relatively expensive preprocessing. The quality of images is strongly influenced by the transfer function, which maps a data value onto a sampling probability. An appropriate transfer function concentrates the point samples onto the region of interest. Since it is data dependent, a fine parameter tuning is necessary. However, the costly preprocessing has to be repeated whenever the transfer function parameters are modified. In this paper a new preprocessing algorithm is proposed for MCVR, which allows for an interactive transfer function control in the rendering phase, providing a visual feedback in a couple of seconds. In order to rapidly recompute point samples according to the modified transfer function, an efficient hybrid sampling strategy is applied, which combines the advantages of the probabilistic Monte Carlo sampling and the deterministic quasi-Monte Carlo sampling.