title: Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model.
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.
authors.forename: Sandro I
authors.initials: SI
authors.lastname: De Zanet
authors.forename: Carlos
authors.initials: C
authors.lastname: Ciller
authors.forename: Tobias
authors.initials: T
authors.lastname: Rudolph
authors.forename: Philippe
authors.initials: P
authors.lastname: Maeder
authors.forename: Francis
authors.initials: F
authors.lastname: Munier
authors.forename: Aubin
authors.initials: A
authors.lastname: Balmer
authors.forename: Meritxell Bach
authors.initials: MB
authors.lastname: Cuadra
authors.forename: Jens H
authors.initials: JH
authors.lastname: Kowal
mesh_terms: D000293:Adolescent; D059925:Anatomic Landmarks; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008297:Male; D008954:Models, Biological; D066230:Patient-Specific Modeling; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D019572:Retinal Neoplasms / Q000473:pathology*; D012175:Retinoblastoma / Q000473:pathology*; D042262:Retinoscopy / Q000379:methods*; D012680:Sensitivity and Specificity; D013382:Subtraction Technique