Titre
Dense Deformation Field Estimation for Atlas Registration using the Active Contour Framework
Type
article de conférence/colloque
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Auteur(s)
Duay, V.
Auteure/Auteur
Bach Cuadra, M.
Auteure/Auteur
Bresson, X.
Auteure/Auteur
Thiran, J.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
Titre du livre ou conférence/colloque
14th European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006
Statut éditorial
Publié
Date de publication
2006
Langue
anglais
Résumé
In this paper, we propose a new paradigm to carry outthe registration task with a dense deformation fieldderived from the optical flow model and the activecontour method. The proposed framework merges differenttasks such as segmentation, regularization, incorporationof prior knowledge and registration into a singleframework. The active contour model is at the core of ourframework even if it is used in a different way than thestandard approaches. Indeed, active contours are awell-known technique for image segmentation. Thistechnique consists in finding the curve which minimizesan energy functional designed to be minimal when thecurve has reached the object contours. That way, we getaccurate and smooth segmentation results. So far, theactive contour model has been used to segment objectslying in images from boundary-based, region-based orshape-based information. Our registration technique willprofit of all these families of active contours todetermine a dense deformation field defined on the wholeimage. A well-suited application of our model is theatlas registration in medical imaging which consists inautomatically delineating anatomical structures. Wepresent results on 2D synthetic images to show theperformances of our non rigid deformation field based ona natural registration term. We also present registrationresults on real 3D medical data with a large spaceoccupying tumor substantially deforming surroundingstructures, which constitutes a high challenging problem.
PID Serval
serval:BIB_4D2FC40926DC
Date de création
2011-11-29T15:40:28.673Z
Date de création dans IRIS
2025-05-20T17:08:22Z
Fichier(s)![Vignette d'image]()
En cours de chargement...
Nom
BIB_4D2FC40926DC.P001.pdf
Version du manuscrit
preprint
Taille
526.94 KB
Format
Adobe PDF
PID Serval
serval:BIB_4D2FC40926DC.P001
URN
urn:nbn:ch:serval-BIB_4D2FC40926DC7
Somme de contrôle
(MD5):b8c838ecf596a9073a2e7524c5e6c671