

*Rutgers Undergraduate Research Fellow
| Abstract |
which is available from the National Library of Medicine, National Institutes of Health, and consists of cryogenic slices of a human male. Each slice is 1024x1024 pixels, and there are 1024 slices. By using a commercial animation package, we have created complex movements for the Visible Human Dataset. The figure to left is an image of the Visible Human created by using volume rendering algorithms.
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Goal
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of objects,so most of the models are hollow. A 3D dataset, such as the Visible Human Dataset, consists of the boundary and the interior. In our lab, we have developed a set of algorithms and a methodology which will allow the integration of volume models within standard computer graphics animation tools. To demonstrate our results, we have animated the largest and most complex volume model, the Visible Human Dataset. The algorithms developed also have potential use in medical visualization. The figure to left is an image of the Visible Human created by using volume rendering algorithms.
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Challenges
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created and a skeleton defined. The skeleton is a line-like representation of the model with joints and limbs. The polygonal model is then "attached" to the skeleton, so that when motion is defined about a joint, the corresponding polygonal model moves as well (see below). The challenge is to create a "volumetric" skeleton which can be attached to all of the pixels (voxels) in a 3D dataset. This skeleton must then be imported into traditional tools to facilitate animation.The figure to the left shows the skeleton that served as the basis for animation.
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Solutions
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Acknowledgment
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Copyright 2001 by Deborah Silver Current URL: http://rutgersscholar.rutgers.edu/volume03/martsilv/martsilv.htm |