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Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions

delete2017-02-09
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OA
AI
J
Javier Mazzaferri
L
Luke Beaton
G
Gisèle Hounye
D
Diane N. Sayah
S
Santiago Costantino *
DOI:10.1038/srep42112delete
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Abstract

Abstract

En 中文
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).
Keywords:
1060 NM OCT
GEOGRAPHIC ATROPHY
THICKNESS
HEALTHY
AGE
RETINOPATHY
EYES
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Scientific Reports cover
Scientific Reports
IF:
3.9
Papers:
27.1W
Citations:
83.5W

Organization

U
universite de montreal
Scholars:
4.6W
Papers: 3.8W
Citations: 46