This is the main page of project Caserel, an open-source software suite for computer-aided segmentation of retinal layers in optical coherence tomography (OCT) images written in Matlab.
Currently, the software supports segmentation of 6 retinal layers by automatically delineating 7 boundaries (ILM, NFL/GCL, IPL/INL, INL/OPL, OPL/ONL, IS/OS,RPE) from OCT images. An image browser/editor is provided for manual and semi-automated correction of the segmented retinal boundaries. For a quick demonstration, please run script 'getRetinalLayersExample.m'.
Please note that this project is "work-in-progress", meaning many features still needs to be implemented, e.g. detection of macula and vessels . In addition, the accuracy of the automated segmentation is not completely evaluated, so if you are to use the resulting segmentation for quantification of retinal layer thickness, I recommend carefully reviewing the segmentation results using either the provided GUI or other image segmentation tools.
The references you will need to cite if you do use Caserel are:
- Teng PY, Caserel, GitHub repository, 2014, http://pangyuteng.github.io/caserel
- Chiu SJ et al, Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation, Optics Express, 2010;18(18);19413-19428
Say it like casserole. The name is derived from Computer-Aided SEgmentation of REtinal Layers in OCT images.
This project is under GPL v2, "a copyleft license that requires anyone who distributes code or a derivative work to make the source available under the same terms." For full details, see the LICENSE file provided in the project folder.