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14th International Conference on Image Analysis and Processing (ICIAP 2007)
CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model
Modena, Italy
September 10-September 14
ISBN: 0-7695-2877-5
ASCII Text
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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
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@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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