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Image: Interfaces between white matter, grey matter, and other matter for a human brain data set.<BR>
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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.<BR>
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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.  Thumbnail

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