Sparse Bayesian registration

Loïc Le Folgoc; Hervé Delingette; Antonio Criminisi; Nicholas Ayache

doi:10.1007/978-3-319-10404-1_30

Sparse Bayesian registration

Loïc Le Folgoc
, Hervé Delingette
, Antonio Criminisi
, Nicholas Ayache

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

We propose a Sparse Bayesian framework for non-rigid registration. Our principled approach is flexible, in that it efficiently finds an optimal, sparse model to represent deformations among any preset, widely overcomplete range of basis functions. It addresses open challenges in state-of-the-art registration, such as the automatic joint estimate of model parameters (e.g. noise and regularization levels). We demonstrate the feasibility and performance of our approach on cine MR, tagged MR and 3D US cardiac images, and show state-of-the-art results on benchmark datasets evaluating accuracy of motion and strain.

langue originale	Anglais
titre	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
Editeur	Springer Verlag
Pages	235-242
Nombre de pages	8
Edition	PART 1
ISBN (imprimé)	9783319104034
Les DOIs	https://doi.org/10.1007/978-3-319-10404-1_30
état	Publié - 1 janv. 2014
Modification externe	Oui
Evénement	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, États-Unis Durée: 14 sept. 2014 → 18 sept. 2014

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
nombre	PART 1
Volume	8673 LNCS
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Pays/Territoire	États-Unis
La ville	Boston, MA
période	14/09/14 → 18/09/14

Accès au document

10.1007/978-3-319-10404-1_30

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Contient cette citation

Le Folgoc, L., Delingette, H., Criminisi, A., & Ayache, N. (2014). Sparse Bayesian registration. Dans Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings (PART 1 Ed., p. 235-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 8673 LNCS, Numéro PART 1). Springer Verlag. https://doi.org/10.1007/978-3-319-10404-1_30

Le Folgoc, Loïc ; Delingette, Hervé ; Criminisi, Antonio et al. / Sparse Bayesian registration. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1. Ed. Springer Verlag, 2014. p. 235-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Sparse Bayesian registration",

abstract = "We propose a Sparse Bayesian framework for non-rigid registration. Our principled approach is flexible, in that it efficiently finds an optimal, sparse model to represent deformations among any preset, widely overcomplete range of basis functions. It addresses open challenges in state-of-the-art registration, such as the automatic joint estimate of model parameters (e.g. noise and regularization levels). We demonstrate the feasibility and performance of our approach on cine MR, tagged MR and 3D US cardiac images, and show state-of-the-art results on benchmark datasets evaluating accuracy of motion and strain.",

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Le Folgoc, L, Delingette, H, Criminisi, A & Ayache, N 2014, Sparse Bayesian registration. Dans Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Numéro PART 1, VOL. 8673 LNCS, Springer Verlag, p. 235-242, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, États-Unis, 14/09/14. https://doi.org/10.1007/978-3-319-10404-1_30

Sparse Bayesian registration. / Le Folgoc, Loïc; Delingette, Hervé; Criminisi, Antonio et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1. Ed. Springer Verlag, 2014. p. 235-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 8673 LNCS, Numéro PART 1).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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N2 - We propose a Sparse Bayesian framework for non-rigid registration. Our principled approach is flexible, in that it efficiently finds an optimal, sparse model to represent deformations among any preset, widely overcomplete range of basis functions. It addresses open challenges in state-of-the-art registration, such as the automatic joint estimate of model parameters (e.g. noise and regularization levels). We demonstrate the feasibility and performance of our approach on cine MR, tagged MR and 3D US cardiac images, and show state-of-the-art results on benchmark datasets evaluating accuracy of motion and strain.

AB - We propose a Sparse Bayesian framework for non-rigid registration. Our principled approach is flexible, in that it efficiently finds an optimal, sparse model to represent deformations among any preset, widely overcomplete range of basis functions. It addresses open challenges in state-of-the-art registration, such as the automatic joint estimate of model parameters (e.g. noise and regularization levels). We demonstrate the feasibility and performance of our approach on cine MR, tagged MR and 3D US cardiac images, and show state-of-the-art results on benchmark datasets evaluating accuracy of motion and strain.

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DO - 10.1007/978-3-319-10404-1_30

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C2 - 25333123

AN - SCOPUS:84909580611

SN - 9783319104034

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings

PB - Springer Verlag

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Le Folgoc L, Delingette H, Criminisi A, Ayache N. Sparse Bayesian registration. Dans Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1 Ed. Springer Verlag. 2014. p. 235-242. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-319-10404-1_30

Sparse Bayesian registration

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Série de publications

Une conférence

Accès au document

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