Date
2013
Indexation documentaire
Intelligence artificielle
Subject
Imaging / Radiology; Health Informatics; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision; Pattern Recognition; Computer Graphics
Pays du colloque
JAPAN
Titre de l'ouvrage
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part IMICCAI 2013
Auteur
Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab
Nom de l'éditeur
Springer
Ville de l'éditeur
Berlin Heidelberg
Année
2013
ISBN
978-3-642-40810-6
Auteur
Schmah, Tanya
Risser, Laurent
Vialard, François-Xavier
Type
Communication / Conférence
Nombre de pages du document
203-210
Résumé en anglais
We present a new framework for diffeomorphic image registration which supports natural interpretations of spatially-varying metrics. This framework is based on left-invariant diffeomorphic metrics (LIDM) and is closely related to the now standard large deformation diffeomorphic metric mapping (LDDMM). We discuss the relationship between LIDM and LDDMM and introduce a computationally convenient class of spatially-varying metrics appropriate for both frameworks. Finally, we demonstrate the effectiveness of our method on a 2D toy example and on the 40 3D brain images of the LPBA40 dataset.
