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User Directed Segmentation of the Visible Human Data Sets in an Immersive Environment

Steven O. Senger, Ph.D.
Department of Computer Science
University of Wisconsin - La Crosse, WI, USA
senger@csfac.uwlax.edu


Abstract
      This paper describes a software environment for the visualization and segmentation of large volumetric data sets such as the Visible Human Project. The environment is immersive in the sense that the user views the data set stereoscopically and manipulates the data using a position/orientation tracked probe visually co-located with the data. The environment is designed to allow the user to interact with the visualization and segmentation processes in a tightly coupled computational loop. Two modes of segmentation supported by this environment are discussed.

Keywords: segmentation, immersive environment, stereo vision.
 
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Acknowledgements
      The author wishes to thank Dr. Muriel Ross, the director the of the NASA Ames Biocomputation Center, and her staff for the supportive environment in which this work was begun.


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