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Scientific Visualization

Scientific visualization, sometimes referred to as visual data analysis, uses the graphical representation of data as a means of gaining understanding and insight into the data. Scientific visualization research at SCI has focused on applications spanning computational fluid dynamics, medical imaging and analysis, and fire simulations. Research involves novel algorithm development to building tools and systems that assist in the comprehension of massive amounts of scientific data. In helping researchers to comprehend spatial and temporal relationships between data, interactive techniques provide better cues than noninteractive techniques; therefore, much of scientific visualization research focuses on better methods for visualization and rendering at interactive rates.

Three-Dimensional Annotation for Volume Rendering
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Volume rendering is a powerful means for visualizing high resolution 3D scalar fields, and if used in combination with transfer functions and different rendering styles, it allows for an effective visual communication of complex structures and relationships between them. To improve the analysis process it is often desired to not only render the data but also to interactively edit this data. One such example is the placement of annotations to give extra information about relevant structures.