Posters

New algorithm for corneal segmentation and densitometry assessment using anterior segment optical coherence tomography

Poster Details

First Author: J.Peraza-Nieves SPAIN

Co Author(s):    X. Wang   C. Rocha de Lossada   M. Sanchez-Valera   T. Hernández-Trujillo   E. Fraga-Pumar   I. Blanco-Domíguez     

Abstract Details

Purpose:

To describe the normative mean values of corneal densitometry based on the swept source anterior segment ocular coherence tomography (SS-AS-OCT) images in a group of normal participants.

Setting:

Hospital Clínic de Barcelona, Spain

Methods:

111 healthy participants (195 eyes) were enrolled. A pupil centered 6 mm radial scanning were performed and the 0º-180º images were obtained. A MATLAB designed algorithm performed an automatic segmentation of cornea into three layers from anterior to posterior: anterior (surface to epithelial basement membrane), posterior (50 μm from endothelium to posterior stroma) and central (the area in between). These 3 segments were divided into 2 concentric areas: 0-2 mm and 2-4 mm resulting 9 areas for the analysis. The mean corneal densitometry values of each area were calculated by the MATLAB algorithm and expressed as grayscale units (GSU).

Results:

The mean age was 57.16 ± 19.96 years (range 22 - 87), with 100 (51.3%) right eyes and 95 (48.7%) left eyes. The total corneal densitometry was 90.50±12.47 GSU. The anterior layer has highest densitometry values 94.54±14.55 GSU, and the central layer has lowest 89.91±12.34 GSU. The densitometry differences between the anterior layer and the central layer (P<0.01), the anterior layer and the posterior layer (P<0.01) were statistically significant. The 0mm-2mm concentric area has higher mean densitometry values 101.45±12.91 GSU, and the differences were significant compared to the 2mm-4mm concentric area (P<0.01). No correlation was yield between the corneal densitometry values with sex (P=0.37) neither with age (Pearson r=0.14, P=0.058).

Conclusions:

The new MATLAB segmentation algorithm for the analysis of corneal SS-AS-OCT images is capable to objectively assess the corneal densitometry. We provide a normative data for better clinical and research approach.

Financial Disclosure:

gains financially from competing product or procedure, travel has been funded, fully or partially, by a company producing, developing or supplying the product or procedure presented, research is funded, fully or partially, by a company producing, developing or supplying the product or procedure presented, receives non-monetary benefits from a company producing, developing or supplying the product or procedure presented, receives consulting fees, retainer, or contract payments from a company producing, developing or supplying the product or procedure presented, is employed by a competing company, has significant investment interest in a company producing, developing or supplying product or procedure presented