Efficient geometric techniques for reconstructing 3D vessel trees from biplane image

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Efficient geometric techniques for reconstructing 3D vessel trees from biplane image

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Annual Symposium on Computational Geometry archive
Proceedings of the twenty-first annual symposium on Computational geometry table of contents

Pisa, Italy

SESSION: Video/multimedia presentations table of contents

Pages: 368 - 369

Year of Publication: 2005

ISBN:1-58113-991-8

Authors

Vikas Singh	State University of New York at Buffalo
Lopamudra Mukherjee	State University of New York at Buffalo
Jinhui Xu	State University of New York at Buffalo
Kenneth R. Hoffmann	State University of New York at Buffalo
Guang Xu	State University of New York at Buffalo
Zhenming Chen	State University of New York at Buffalo

Sponsors

ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	T. Asano, L.J. Guibas, and T. Tokuyama. Walking in an arrangement topologically. International Journal of Computational Geometry and Applications 4(2):123--151, 1994.
	2	D.Z. Chen, S. Luan, and J. Xu. Topological peeling and implementation. International Journal of Computational Geometry and Applications 13(2):135--172, 2003.
	3	K.R. Hoffmann, A. Wahle, C.P. Barakat, J. Sklansky, and M. Sonka. Biplane x-ray angiograms, intravascular ultrasound and 3d visualization of coronary vessels. International Journal of Cardiac Imaging 15:495--512, 1999.
	4	V. Singh, J. Xu, K.R. Hoffmann, G. Xu, Z. Chen, and A. Gopal. A new algorithm or determining 3d biplane imaging geometry: Theory and implementation. In Medical Imaging: Image Processing Proc. SPIE, 2005 (in press).