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Material Boundary Surfaces
Caption:
Interfaces between white matter, grey matter, and other matter for a human brain data set.
It is difficult to determine the structure of complex data set like the human brain, but researchers from the University of California-Davis have developed a method to track the boundary surfaces (or interfaces) between multiple materials in complex data sets, and have applied this method to the human brain. They first produced a data set where each data item contained a probability that certain types of material exist in the region of the data point. Then, segmentation methods are applied to generate the boundary surfaces. The illustration shows the interfaces between white matter, grey matter, and other matter for a human brain data set. The boundaries have been clipped to illustrate the interior of the brain.
This work was supported in part by a grant from the National Science Foundation's Large Scientific and Software Data Set Visualization program, grant ACI 99-82251.
(Preview Only)
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| Credit: |
Kathleen Bonnell, Mark A. Duchaineau, Daniel Schikore, Bernd Hamann and Kenneth I. Joy, “Constructing Material Interfaces from Data Sets Containing Volume Fraction Information,” Proceedings of IEEE Visualization 2000, T. Ertl, B. Hamann and A. Vars |
| Year of Image: |
1999 |
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Categories:
COMPUTERS / Advanced Computation Research
Formats Available:
Restrictions:
No additional restrictions--beyond NSF's general restrictions--have been placed on this image. For a list of general restrictions that apply to this and all images in the NSF Image Library, see the section "Conditions".
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