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

Authors
  • De Zanet, Sandro I
  • Ciller, Carlos
  • Rudolph, Tobias
  • Maeder, Philippe
  • Munier, Francis
  • Balmer, Aubin
  • Cuadra, Meritxell Bach
  • Kowal, Jens H
Type
Published Article
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Feb 01, 2015
Volume
62
Issue
2
Pages
532–540
Identifiers
DOI: 10.1109/TBME.2014.2359676
PMID: 25265602
Source
Medline
License
Unknown

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.

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