Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions.
The use of optical coherence tomography (OCT) to study ocular diseases associated with choroidal physiology is sharply limited by the lack of available automated segmentation tools. Current research largely relies on hand-traced, single B-Scan segmentations because commercially available programs require high quality images, and the existing implementations are closed, scarce and not freely available. We developed and implemented a robust algorithm for segmenting and quantifying the choroidal layer from 3-dimensional OCT reconstructions. Here, we describe the algorithm, validate and benchmark the results, and provide an open-source implementation under the General Public License for any researcher to use (https://www.mathworks.com/matlabcentral/fileexchange/61275-choroidsegmentation).
Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.
Javier
J
Mazzaferri
Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.
Luke
L
Beaton
Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.
Gisèle
G
Hounye
Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.|Département d'Ophtalmologie, Université de Montréal, Montréal, QC, Canada.
Diane N
DN
Sayah
Centre de Recherche Hôpital Maisonneuve-Rosemont, Montréal, QC, Canada.|Département d'Ophtalmologie, Université de Montréal, Montréal, QC, Canada.
Santiago
S
Costantino
D000465:Algorithms; D001331:Automation / Q000379:methods*; D002829:Choroid / Q000000981:diagnostic imaging* / Q000473:pathology*; D015862:Choroid Diseases / Q000000981:diagnostic imaging* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D041623:Tomography, Optical Coherence / Q000379:methods*