体积数据的一种分析射线投射法

Moon-Ryul Jung, Hyunwoo Park, Doowon Paik
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引用次数: 4

摘要

当用光线投射法对体数据进行可视化时,图像中每个像素点的颜色值是由像素点投射的光线上的样本点的颜色贡献组成的。在大多数光线追踪方法中,包括M. Levoy (1988;在经典方法(1990)中,颜色组成被表述为离散样本点的颜色贡献的总和。然而,更精确的颜色组成被表述为连续样本点的颜色贡献的微分方程。使用离散公式,因为很难找到连续公式的解析解。然而,我们已经发现了一个半解析解的连续公式的典型射线追踪的体积数据。我们将Levoy的方法和我们的方法应用于同一组数据,并比较了两种结果的视觉质量。对比表明,我们的方法产生了更细粒度的体数据可视化。
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An analytical ray casting of volume data
When volume data is visualized by the ray casting method, the color value of each pixel in the image is obtained by composing the color contributions of the sample points that lie on the ray cast from the pixel point. In most ray tracing methods, including M. Levoy's (1988; 1990) classical method, the color composition is formulated as a summation of the color contributions of the discrete sample points. However the more precise color composition is formulated as differential equations over the color contributions of the continuous sample points. The discrete formulation is used, because analytical solutions to the continuous formulation are hard to find. However we have discovered a semi-analytical solution to the continuous formulation of a typical ray tracing of volume data. We have applied both Levoy's method and ours to the same set of data, and compared the visual quality of both results. The comparison shows that our method produces a more fine grained visualization of volume data.
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