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A Multi-Volume Visualization Framework for Spatial Aligned Volumes after 3D/3D Image Registration

机译:3D / 3D图像配准后的空间对齐卷的多卷可视化框架

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A new method for the visualization of spatial aligned volumes after 3D/3D image registration is presented in this paper. This work aims at displaying the full information of the multi-volume in the same scene. First, we form a vectorial volume from the spatial aligned multi-volume. Then, a statistical vectorial volume classification method based on neighborhood weighted Gaussian mixture model is applied to analyze the vectorial volume and get material distribution information. Finally, several rendering techniques are adapted to visualize the parameters. We imply an application case: the visualization of preoperative kidney planning system to express our visualization method, but this method is not limited to the specific application case. According to the levels where the data intermixing occurs, our method mix the data at the earliest level so that it is called the acquisition level intermixing method.
机译:本文介绍了3D / 3D图像配准在3D / 3D图像配准后空间对齐卷的可视化的新方法。 这项工作旨在在同一场景中显示多卷的全部信息。 首先,我们从空间对齐的多卷形成一个矢量卷。 然后,应用基于邻域加权高斯混合模型的统计矢量卷分类方法来分析矢量卷并获得材料分布信息。 最后,若干渲染技术适于可视化参数。 我们暗示了一个应用案例:术前肾脏计划系统的可视化来表达我们的可视化方法,但这种方法不限于特定的应用案例。 根据数据混合发生数据的级别,我们的方法在最早的级别混合数据,以便它被称为采集级别互联方法。

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