EyeLab is a multimodal annotation tool for ophthalmological imaging data.
If you are on Windows, download the latest executable here and double click it to start EyeLab.
For Linux there is no package, but you might want to have a look at the Developers section for how to set up EyeLab.
Use the File Menu on the top left of the EyeLab window to import, save or open data to your workspace.
- Data exported from HEXEX in the .xml or .vol format
- Data from the RETOUCH challenge
- AMD and Control Dataset from (Farsiu 2014)
You can also import B-scans from a folder (sorting the file names is expected to result in the correct B-scan order)
Annotations can be saved as .eye files, EyeLabs file format.
Your workspace consists of a combined Enface and Volume view. On the right you have an overview where annotations are managed for the OCT volume as well as for the Enface image.
You can zoom in and out using the mouse wheel. With the standard Inspection tool you can move the image around if you want to see another part. If you press CTRL while using the mouse wheel on the Volume view, you scroll through adjacent B-scans. Use CRTL + x to toggle a linked navigation where B-scans change based on your mouse position in the enface.
An area annotation in Eyelab is a pixel_map on top of the underlying image. Its color can be changed, as well as its visibility.
Create a new area using the (+) symbol in the overview on the right. Specify a name and select Areas from the "Type" dropdown.
First select the area you want to annotate from the overview on the right. Selecting an area automatically enables the Pen tool. You can now make annotations. The size of the Pen tool can be changed on the right.
If you want to pan around in the image select the Inspection tool on the right.
An OCT Layer in Eyelab is combination of explicit layer heights provided per A-scan, and a cubic spline curve which can be manipulated by adding, removing or moving the curves knots.
Create a new layer using the (+) symbol in the overview on the right. Specify a name and select Layers from the Type dropdown.
First select the layer you want to annotate from the overview on the right. Selecting a layer automatically enables the Curve tool. You can now start adding control points of a cubic spline curve, by double click on the desired location. You can move control points by left click and hold and delete them with a right click. These control points consist of a red circle the curve has to pass through and two blue rectangles which control at which angle the curve enters and leaves the red control point
If you want to pan around in the image select the Inspection tool on the right.
The layer heights are constantly updated to represent the position of the current cubic spline curve.
.eye files are zip archives of the following structure:
file.eye
│ meta.json
│ raw_volume.npy # unprocessed by eyepy
│
└───localizer
│ │ meta.json
│ │ lcoalizer.npy
│ │
│ └───annotations
│ └───pixel
│ │ meta.json
│ │ pixel_maps.npy
│
└───annotations
└───layers
│ │ meta.json
│ │ layer_heights.npy
│
└───voxels
│ meta.json
│ voxel_maps.npy
Since Eyelab builds on the eyepy Python package, annotations stored by Eyelab in the .eye formt can be easily loaded with eyepy:
import eyepy as ep
ev = ep.EyeVolume.load("path/to/file.eye")Clone the repository, install python poetry and run poetry install after navigating into the project folder.
To run EyeLab run poetry run eyelab/main.py
poetry runpyinstaller --hidden-import imagecodecs --collect-submodules imagecodecs --name EyeLab -i icon.ico eyelab\main.py --onefile- eyepie: The Python package EyeLab uses in the back
- OCT-Converter: Extract raw optical coherence tomography (OCT) and fundus data from proprietary file formats. (.fds/.fda/.e2e/.img/.oct/.dcm)