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Project : Cellmate
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Confocal Volume Rendering
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Volume rendering
is now a common tool for multi-dimensional data exploration in biology,
medicine, meteorology, geology, material science, and other fields.
In order to perform volume rendering, users are often forced to preprocess
and segment their data. This step of processing before visualization
often inhibits the use of volume rendering as it can be quite cumbersome
and can also introduce undesirable artifacts. In order to enhance
the use of direct volume visualization, powerful, yet easy-to-use
methods need to be developed. In this paper, we present an approach
that offers the user data-dependent control over the focal region
(in physical depth terms) of the visualization. This approach enables
the user to easily visualize interior structures in the dataset by
controlling physically defined parameters, without performing segmentation. |
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