Automatic Animations to Analyze Blood Flow Data

The overall quality of the suggested values given to the user depends on the relationship between the facet index and the original data source, (defined by the index configuration,)

If streamlines move in field areas where the scalar value is high, the range of permitted gray tones will be large and the local contrast will be high, but if low scalar values

Similarly to the construction of the classification graph for an edge, the graphs for most cases can be derived from the fact that nodes for edges on the same face are connected

The threshold values t lower and t upper defined for RCT technique, were used also in this method to determine those points which belong with high probability to the blood ves-

Chapter 5 represents the first main contribution and proposes an adaptive sur- face visualization method that is developed for vessel structures with embedded blood flow information.

There are three types of data for a selected data set: a surface representation showing the vessel morphology, wall-related infor- mation comprising scalar, vectorial, and tensor

It is represented as intersection of multiple hyperplanes in the d-dimensional attribute space (the range) with a grid defined by the values of all scalar fields at each vertex of

It is represented as intersection of multiple hyperplanes in the d-dimensional attribute space (the range) with a grid defined by the values of all scalar fields at each vertex of