Creating 3D Models from Medical Images Using AVS: A User's Perspective Christine S. Siegel N.Y.U. School of Medicine Introduction To populate virtual worlds with three-dimensional representations of real patients rather than artists' renderings or "normal" idealized representations, brings the new technology of virtual reality into ~ e realm of diagnosis and treatment. The ability to reconstruct parts of the anatomy from CT, MRI and other medical image data gives the physician the opportunity to see his patient in a new and powerful way. The ability to see a brain tumor, for example, and watch a virtual representation of the surgeon's instrument as it approaches the malignant tissue, is relatively new, and affords a degree of accuracy unknown in the past In order to achieve these applications, however, the models we extract from the data must be accurate and meaningful. Accuracy is compromised due to the fact that digitized scans are samplings of some aspect of the body tissues, and are not continuous in nature. To further complicate matters, scans are taken at intervals through the third dimension which usually greatly exceed the intervals between data samplings in the plane of the image. Decreasing the intervals between images means
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Creating 3D models from medical images using AVS: a user's perspective
Siegel, Christine S.
Follow ACM SIGGRAPH Computer Graphics
, Volume 29 (2)
Association for Computing Machinery – May 1, 1995
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