Title
HIERARCHICAL IMAGE REGISTRATION WITH AN ACTIVE CONTOUR-BASED ATLAS REGISTRATION MODEL
Abstract
This paper proposes to apply the non parametric atlas registration framework we have recently developed in (6). This technique de- rived from the optical flow model and the active contour frame work allows to base the registration of an anatomical atlas on sel ected structures. A well-suited application of our model is the non rigid registration of medical images based on a hierarchical atlas. This hi- erarchical registration approach that we have previously i ntroduced in (7), aims to better exploit the spatial dependencies that exist be- tween anatomical structures in an image matching process. Its basic idea is to first register the structures the most relevant to e stimate the deformation in order to help the registration of secondary structures. This aims to reduce the risks of mismatching. Here, we propose to test our novel simultaneous registration and segmentation model on different types of medical image registration problems. Results show the advantages to combine our active contour-based registra- tion framework with the structure-based hierarchical approach and highlight the importance of the registration order of the an atomical structures.
Year
Venue
Field
2008
European Signal Processing Conference
Active contour model,Computer vision,Pattern recognition,Image matching,Segmentation,Computer science,Atlas (anatomy),Artificial intelligence,Anatomical structures,Optical flow,Image registration
DocType
ISSN
Citations 
Conference
2219-5491
1
PageRank 
References 
Authors
0.36
10
5
Name
Order
Citations
PageRank
Valerie Duay11299.53
Nawal Houhou2393.57
Sai Subrahmanyam Gorthi3102.54
Abdelkarim S. Allal4252.65
Jean-Philippe Thiran52320257.56