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A Rapid Pre-Integrated Perspective Volume Rendering Algorithm

机译:快速的预集成透视体渲染算法

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Perspective Volume Rendering has well known advantages, so it is applied widely in medical visualization. In the visualization of 3D medical images, it is common to frequently adjust the opacity transfer function and viewing angle so that volume rendering is difficult to be realized in real-time. And in traditional perspective Shear-Warp there are the aliasing and staircase effects resulting from under-sampling. In order to efficiently and effectively reconstruct 3D medical images, a novel Rapid Pre-Integrated Perspective Volume Rendering(RPPVR) method based on Pre-Integrated Volume Rendering and Shear-Warp algorithm is proposed in this paper. In the proposed method, classification coding for volume data is implemented by making use of the correlation of opacity transfer function and min-max Octree data structure so that fast reconstruction can be done when opacity transfer function and view angle change. Moreover, the aliasing artifacts resulted from under-sampling can be eliminated by Pre-Integrated Volume Rendering technique incorporated the shading calculation of lighting model, thus improving the reconstruction effect. This study demonstrates the superiority of the proposed method.
机译:透视体渲染具有众所周知的优点,因此在医学可视化中得到了广泛的应用。在3D医学图像的可视化中,通常经常调整不透明度传递函数和视角,从而难以实时实现体绘制。在传统的Shear-Warp视角下,采样不足会导致混叠和阶梯效应。为了高效,有效地重建3D医学图像,提出了一种基于预集成体绘制和Shear-Warp算法的快速预集成透视体绘制(RPPVR)方法。该方法利用不透明度传递函数与最小-最大Octree数据结构的相关性实现体数据的分类编码,从而在不透明度传递函数和视角变化时可以进行快速重构。此外,通过结合照明模型阴影计算的预集成体积渲染技术可以消除由欠采样导致的混叠伪影,从而提高了重建效果。这项研究证明了所提出方法的优越性。

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