Authors:
Gabriela Samagaio
1
;
Aída Estévez
2
;
Joaquim de Moura
1
;
Jorge Novo
1
;
Marcos Ortega
1
and
María Isabel Fernández
3
Affiliations:
1
University of A Coruña, Spain
;
2
Complejo Hospitalario Universitario de Santiago, Spain
;
3
Instituto Oftalmológico Gómez-Ulla, Complejo Hospitalario Universitario de Santiago and University of Santiago de Compostela, Spain
Keyword(s):
Computer Aided Diagnosis, Retinal Imaging, Optical Coherence Tomography, Macular Edema.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Medical Image Applications
Abstract:
This paper proposes a novel system for the simultaneous identification and characterization of the three types
of Macular Edema (ME) in Optical Coherence Tomography (OCT). These MEs are clinically defined, by the
reference classification of the field, as: Serous Retinal Detachment (SRD), Diffuse Retinal Thickening (DRT)
and Cystoid Macular Edema (CME). Our system uses multilevel image thresholding approaches to identify
the SRD and CME cases and a learning approach for the DRT identification. The system provided promising
results with F-Measures of 83.35% and 81.95% for the DRT and CME detections, respectively. It was also
efficient in detecting all the SRD cases included in the testing image dataset. The system was able to identify
individually the different types of ME on the OCT images but it was also capable to detect simultaneously the
existence of the three ME cases when they appeared merged in the lower retinal layers.