Abstract
Recently, several color volume data such as Visible Human became available for generating a realistic image. These dataset are commonly operated on CPU, however, the rendering time is time-consuming task on CPU. GPU-based volume rendering method can visualize color volume data more easily and quickly because it provides 3D texture including RGB channel. In this paper, we present the GPU-based visualization method of segmented color volume data. During the rendering stage, we need two volume datasets, color and segmented volume. However, the segmented volume requires additional memory. In our method, we use only one 3D texture in GPU. We encode three kinds of values in the 3D texture, color, segmented index and tagged values. Segmented index means the index value of internal organ. And the tagged values are the information of region of interest. We can visualize fast the color image of real human body without additional memory.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kwon, KJ., Shin, BS. (2006). Visualization of Segmented Color Volume Data Using GPU. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_110
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DOI: https://doi.org/10.1007/11941354_110
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49776-9
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