Reconstruction of blood vessel networks from a few perspective projections

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2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95)

Dunedin, New Zealand

November 20-November 23

ISBN: 0-8186-7174-2

	ASCII Text	x
	P. Hall, P. Andreae, M. Ngan, "Reconstruction of blood vessel networks from a few perspective projections," Artificial Neural Networks and Expert Systems, New Zealand Conference, pp. 369, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995.

	BibTex	x
	@article{ 10.1109/ANNES.1995.499510, author = {P. Hall and P. Andreae and M. Ngan}, title = {Reconstruction of blood vessel networks from a few perspective projections}, journal ={Artificial Neural Networks and Expert Systems, New Zealand Conference}, volume = {0}, year = {1995}, isbn = {0-8186-7174-2}, pages = {369}, doi = {http://doi.ieeecomputersociety.org/10.1109/ANNES.1995.499510}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Artificial Neural Networks and Expert Systems, New Zealand Conference TI - Reconstruction of blood vessel networks from a few perspective projections SN - 0-8186-7174-2 SP EP A1 - P. Hall, A1 - P. Andreae, A1 - M. Ngan, PY - 1995 KW - haemodynamics; medical image processing; image reconstruction; image representation; blood vessel reconstruction; two dimensional images; medical images; image reconstruction; three dimensional model; image representation; learned from observation; perspective projections VL - 0 JA - Artificial Neural Networks and Expert Systems, New Zealand Conference ER -

P. Hall, Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand

P. Andreae, Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand

M. Ngan, Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ANNES.1995.499510

We are investigating systems that accept a few two dimensional images that are perspective projections of blood vessels to reconstruct a three dimensional model of those vessels. This task is impossible unless a priori information is used; how this information is represented is widely regarded as a key issue. We describe the form that our system uses and explain why it is an improvement on previous representations. In particular, we show that the representation is extensible in that new information can be added to it at any time, and that the representation is task independent, in the sense that it can be used in many ways. We demonstrate its application to the problem of reconstruction and discuss how the representation can be "learned from observation".

Index Terms:

haemodynamics; medical image processing; image reconstruction; image representation; blood vessel reconstruction; two dimensional images; medical images; image reconstruction; three dimensional model; image representation; learned from observation; perspective projections

Citation:

P. Hall, P. Andreae, M. Ngan, "Reconstruction of blood vessel networks from a few perspective projections," annes, pp.369, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995

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