Automatic Identification and Representation of the Cornea–Contact Lens Relationship Using AS-OCT Images
| Autor: | Joaquim de Moura, Pablo Cabaleiro, Marcos Ortega, Pablo Charlón, Jorge Novo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
genetic structures
Computer science Contact Lenses contact lens Diagnostic Techniques Ophthalmological lcsh:Chemical technology anterior segment 01 natural sciences Biochemistry Article Analytical Chemistry law.invention 010309 optics Cornea 03 medical and health sciences Automation 0302 clinical medicine Optical coherence tomography law Region of interest 0103 physical sciences medicine Humans lcsh:TP1-1185 Computer vision Electrical and Electronic Engineering Instrumentation optical coherence tomography medicine.diagnostic_test business.industry Anterior segment Contact lens Computer-aided diagnosis Atomic and Molecular Physics and Optics eye diseases Sclera Lens (optics) medicine.anatomical_structure 030221 ophthalmology & optometry computer-aided diagnosis Artificial intelligence sense organs Central cornea business Tomography Optical Coherence |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 19 Issue 23 Sensors, Vol 19, Iss 23, p 5087 (2019) RUC. Repositorio da Universidade da Coruña instname |
| Popis: | The clinical study of the cornea&ndash contact lens relationship is widely used in the process of adaptation of the scleral contact lens (SCL) to the ocular morphology of patients. In that sense, the measurement of the adjustment between the SCL and the cornea can be used to study the comfort or potential damage that the lens may produce in the eye. The current analysis procedure implies the manual inspection of optical coherence tomography of the anterior segment images (AS-OCT) by the clinical experts. This process presents several limitations such as the inability to obtain complex metrics, the inaccuracies of the manual measurements or the requirement of a time-consuming process by the expert in a tedious process, among others. This work proposes a fully-automatic methodology for the extraction of the areas of interest in the study of the cornea&ndash contact lens relationship and the measurement of representative metrics that allow the clinicians to measure quantitatively the adjustment between the lens and the eye. In particular, three distance metrics are herein proposed: Vertical, normal to the tangent of the region of interest and by the nearest point. Moreover, the images are classified to characterize the analysis as belonging to the central cornea, peripheral cornea, limbus or sclera (regions where the inner layer of the lens has already joined the cornea). Finally, the methodology graphically presents the results of the identified segmentations using an intuitive visualization that facilitates the analysis and diagnosis of the patients by the clinical experts. |
| Databáze: | OpenAIRE |
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