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Interfaces between white, gray and other brain matter
Interfaces between white matter, gray matter and other matter for a human brain dataset.
It is difficult to determine the structure of complex dataset 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 datasets, and have applied this method to the human brain. They first produced a dataset where each data item contained a probability that certain types of materials exist in the region of the data point. Then, segmentation methods are applied to generate the boundary surfaces.
This illustration shows the interfaces between white matter, gray matter and other matter for a human brain dataset. The boundaries have been clipped to illustrate the brain's interior.
The 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).
(Year of image: 1999)
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
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