Title
Ct-Pet Landmark-Based Lung Registration Using A Dynamic Breathing Model
Abstract
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. © 2007 IEEE.
Publication Date
12-1-2007
Publication Title
Proceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007
Number of Pages
691-696
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICIAP.2007.4362857
Copyright Status
Unknown
Socpus ID
48149114246 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/48149114246
STARS Citation
Chambon, S.; Moreno, A.; Santhanam, A. P.; Rolland, J. P.; and Angelini, E., "Ct-Pet Landmark-Based Lung Registration Using A Dynamic Breathing Model" (2007). Scopus Export 2000s. 6166.
https://stars.library.ucf.edu/scopus2000/6166