CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model

Modena, Italy September 10-September 14

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http://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.49

14th International Conference on Imag ...

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	ASCII Text	x
	S. Chambon, A. Moreno, A.P. Santhanam, J.P. Rolland, E. Angelini, I. Bloch, "CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model," Image Analysis and Processing, International Conference on, pp. 691-696, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICIAP.2007.49, author = {S. Chambon and A. Moreno and A.P. Santhanam and J.P. Rolland and E. Angelini and I. Bloch}, title = {CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model}, journal ={Image Analysis and Processing, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2877-5}, pages = {691-696}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.49}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Processing, International Conference on TI - CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model SN - 0-7695-2877-5 SP691 EP696 A1 - S. Chambon, A1 - A. Moreno, A1 - A.P. Santhanam, A1 - J.P. Rolland, A1 - E. Angelini, A1 - I. Bloch, PY - 2007 KW - null VL - 0 JA - Image Analysis and Processing, International Conference on ER -

S. Chambon, ENST, France

A. Moreno, ENST, France

A.P. Santhanam, University of Central Florida, USA; MD Anderson Cancer Center Orlando, USA

J.P. Rolland, University of Central Florida, USA

E. Angelini, ENST, France

I. Bloch, ENST, France

This paper deals with the problem of non-linear landmark-based registration of CT (at two different instants of the breathing cycle, intermediate expirations) and PET images of thoracic regions. We propose a general method to introduce a breathing model in a registration procedure in order to simulate the instant in the breathing cycle most similar to the PET image and guarantee physiologically plausible deformations. Initial results are very promising and demonstrate the interest of this method to improve the combination of anatomical and functional images for diagnosis and oncology applications.

Citation:

S. Chambon, A. Moreno, A.P. Santhanam, J.P. Rolland, E. Angelini, I. Bloch, "CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model," iciap, pp.691-696, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

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