Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging

Glaucoma is a neurodegenerative disease process that leads to progressive damage of the optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology enables peripapillary circular scans of the retina and the measurement of the thickness of the retinal nerve fiber layer (RNF...

Full description

Bibliographic Details
Main Authors: Rafael Berenguer-Vidal, Rafael Verdú-Monedero, Juan Morales-Sánchez, Inmaculada Sellés-Navarro, Rocío del Amor, Gabriel García, Valery Naranjo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
optical coherence tomography (OCT)
peripapillary OCT
automatic layer segmentation
retinal imaging analysis
mathematical morphology
active contours
Online Access:https://www.mdpi.com/1424-8220/21/23/8027

Internet

https://www.mdpi.com/1424-8220/21/23/8027

Similar Items