A practical surface reconstruction algorithm for very large medical datasets

Mingchang Zhao; Jie Tian; Guangming Li; Huiguang He

doi:10.1117/12.538798

25 September 2003 A practical surface reconstruction algorithm for very large medical datasets

Mingchang Zhao, Jie Tian, Guangming Li, Huiguang He

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538798
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Mingchang Zhao, Jie Tian, Guangming Li, and Huiguang He "A practical surface reconstruction algorithm for very large medical datasets", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538798

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