Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model.

Détails

ID Serval
serval:BIB_6FF0EBD2C258
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model.
Périodique
Ieee Transactions on Bio-medical Engineering
Auteur(s)
De Zanet S.I., Ciller C., Rudolph T., Maeder P., Munier F., Balmer A., Cuadra M.B., Kowal J.H.
ISSN
0018-9294; 1558-2531 (Electronic)
ISSN-L
0018-9294
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
62
Numéro
2
Pages
532-540
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Résumé
Ophthalmologists typically acquire different image modalities to diagnose eye pathologies. They comprise, e.g., Fundus photography, optical coherence tomography, computed tomography, and magnetic resonance imaging (MRI). Yet, these images are often complementary and do express the same pathologies in a different way. Some pathologies are only visible in a particular modality. Thus, it is beneficial for the ophthalmologist to have these modalities fused into a single patient-specific model. The goal of this paper is a fusion of Fundus photography with segmented MRI volumes. This adds information to MRI that was not visible before like vessels and the macula. This paper contributions include automatic detection of the optic disc, the fovea, the optic axis, and an automatic segmentation of the vitreous humor of the eye.
Pubmed
Web of science
Création de la notice
07/10/2014 15:00
Dernière modification de la notice
20/08/2019 14:28
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