Objective Assessment of Corneal Transparency in the Clinical Setting: Correction of Acquisition Artifacts in SD-OCT Images and Application to Normal Corneas

Maëlle Vilbert,Romain Bocheux,Hugo Lama,Cristina Georgeon,Vincent Borderie,Pascal Pernot,Kristina Irsch,Karsten Plamann

Objective Assessment of Corneal Transparency in the Clinical Setting: Correction of Acquisition Artifacts in SD-OCT Images and Application to Normal Corneas

2021

Maëlle Vilbert
Romain Bocheux
Hugo Lama
Cristina Georgeon
Vincent Borderie
Pascal Pernot
Kristina Irsch
Karsten Plamann

We present an automated data analysis procedure for clinical SD-OCT images, capable of correcting hyperreflective artifacts due to the instrument. Quantitative parameters related to corneal transparency are extracted from n=85 normal corneas.

Keywords:

corneal transparency
automated data
Optical coherence tomography
transparency
Optometry
objective assessment
light propagation
Computer science

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