Automated diffeomorphic registration of anatomical structures with rigid parts: application to dynamic cervical MRI.

Olivier Commowick 1, * Nicolas Wiest-Daesslé 2 Sylvain Prima 1
* Auteur correspondant
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, INSERM - Institut National de la Santé et de la Recherche Médicale : U746
Abstract : We propose an iterative two-step method to compute a diffeomorphic non-rigid transformation between images of anatomical structures with rigid parts, without any user intervention or prior knowledge on the image intensities. First we compute spatially sparse, locally optimal rigid transformations between the two images using a new block matching strategy and an efficient numerical optimiser (BOBYQA). Then we derive a dense, regularised velocity field based on these local transformations using matrix logarithms and M-smoothing. These two steps are iterated until convergence and the final diffeomorphic transformation is defined as the exponential of the accumulated velocity field. We show our algorithm to outperform the state-of-the-art log-domain diffeomorphic demons method on dynamic cervical MRI data.
Type de document :
Communication dans un congrès
15th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. 15 (Pt 2), pp.163-70, 2012, LNCS. <10.1007/978-3-642-33418-4_21>


http://www.hal.inserm.fr/inserm-00716106
Contributeur : Olivier Commowick <>
Soumis le : mercredi 10 octobre 2012 - 21:36:57
Dernière modification le : lundi 5 octobre 2015 - 16:59:44
Document(s) archivé(s) le : vendredi 11 janvier 2013 - 02:50:09

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Olivier Commowick, Nicolas Wiest-Daesslé, Sylvain Prima. Automated diffeomorphic registration of anatomical structures with rigid parts: application to dynamic cervical MRI.. 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. 15 (Pt 2), pp.163-70, 2012, LNCS. <10.1007/978-3-642-33418-4_21>. <inserm-00716106>

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