Use Python to import, analyse and visualize retinal imaging data.
The eyepy python package provides a simple interface to import and process OCT volumes. Everything you import with one of our import functions becomes an EyeVolume object which provides a unified interface to the data. The EyeVolume object provides methods to plot the localizer (fundus) image and B-scans as well as to compute and plot quantifications of voxel annotations such as drusen. Check out the documentation, especially the Cookbook chapter, for more information.
- Import Data (Heyex-E2E, Heyex-VOL, Heyex-XML, B-Scan collections, RETOUCH Challenge, AMD Dataset from Duke University)
- Analyze OCT volumes (compute and quantify drusen)
- Visualize OCT volumes with annotations and quantifications
- Save and load EyeVolume objects
To install the latest version of eyepy run pip install -U eyepie. It is eyepie and not eyepy for installation with pip.
When you don't hava a supported OCT volume at hand you can check out our sample dataset to get familiar with eyepy.
from eyepy.data import load
# Import HEYEX XML export
ev = load("drusen_patient")- OCT-Converter: Extract raw optical coherence tomography (OCT) and fundus data from proprietary file formats. (.fds/.fda/.e2e/.img/.oct/.dcm)
- eyelab: A GUI for annotation of OCT data based on eyepy
- Projects by the Translational Neuroimaging Laboratory
- UOCTE Unofficial continuation of https://bitbucket.org/uocte/uocte
- OCTAnnotate
- heyexReader
- OCTExplorer Iowa Reference Algorithm