Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty

02/15/2021
by   Friso G. Heslinga, et al.
0

Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet's membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 68 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 micrometer for the central 9 mm range, which is less than 3 measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

04/24/2020

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Purpose: We developed a method to automatically locate and quantify graf...
06/07/2021

Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning

Background/Aims: Standard Automated Perimetry (SAP) is the gold standard...
08/05/2019

Inference of visual field test performance from OCT volumes using deep learning

Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducte...
10/06/2018

Deep Geodesic Learning for Segmentation and Anatomical Landmarking

In this paper, we propose a novel deep learning framework for anatomy se...
08/02/2019

An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans

Segmenting anatomical structures such as the photoreceptor layer in reti...
01/21/2020

An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images

Anatomical landmark correspondences in medical images can provide additi...
01/08/2020

Deep OCT Angiography Image Generation for Motion Artifact Suppression

Eye movements, blinking and other motion during the acquisition of optic...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.