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

Details

Serval ID
serval:BIB_6FF0EBD2C258
Type
Article: article from journal or magazin.
Collection
Publications
Title
Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model.
Journal
Ieee Transactions on Bio-medical Engineering
Author(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
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
62
Number
2
Pages
532-540
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Abstract
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
Create date
07/10/2014 15:00
Last modification date
20/08/2019 14:28
Usage data