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Proceedings Paper

A practical surface reconstruction algorithm for very large medical datasets
Author(s): Mingchang Zhao; Jie Tian; Guangming Li; Huiguang He
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Paper Abstract

In this paper a practical surface reconstruction algorithm is proposed to efficiently process very large medical dataset in general PC. By considering the conflict between memory consumption and traversal speed, we restrict the traditional surface tracking in single layer and thus get a better trade-off between them. We also use a compression scheme to store the generated mesh, which decrease the memory requirement considerably. For efficient rendering, we employ a triangle strips generation algorithm to decode directly the com-pressed mesh into triangle strip. The experimental results tested on visible man fresh CT dataset show that the proposed algorithm is very efficient in both extracting and rendering phase.

Paper Details

Date Published: 25 September 2003
PDF: 5 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538798
Show Author Affiliations
Mingchang Zhao, Institute of Automation, CAS (China)
Jie Tian, Institute of Automation, CAS (China)
Guangming Li, Institute of Automation, CAS (China)
Huiguang He, Institute of Automation, CAS (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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