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Real-Time Photorealistic Virtual Human Anatomy
March/April 2008 (vol. 10 no. 2)
pp. 41-47
Yanling Liu, George Mason University
Jim X. Chen, George Mason University
Lin Yang, Sichuan Continuing Education College of Medical Sciences, China
This article presents a new, voxel-based virtual human anatomy learning system. Using cryosection images to construct human parts provides accurate natural-appearance rendering for both the boundary and inner structure of human parts. The authors developed a novel voxel-based surface-reconstruction algorithm for fast surface reconstruction and real-time modification to volume data. Focusing on high-quality human parts rendering as well as real-time interaction, the system provides a better platform for virtually learning human anatomy.

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Index Terms:
visualization, computer graphics, virtual human anatomy, surface reconstruction
Citation:
Yanling Liu, Jim X. Chen, Lin Yang, "Real-Time Photorealistic Virtual Human Anatomy," Computing in Science and Engineering, vol. 10, no. 2, pp. 41-47, March-April 2008, doi:10.1109/MCSE.2008.61
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