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eyepie

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eyepie

A python package to read, analyse and visualize OCT and fundus data form various sources.

  • 0.11.3
  • PyPI
  • Socket score

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eyepy

Use Python to import, analyse and visualize retinal imaging data.

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Documentation PyPI version DOI

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.

Features

  • Import Data (Heyex-E2E, Heyex-VOL, Heyex-XML, Topcon-FDA, 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

Getting Started

Installation

To install the latest version of eyepy run pip install -U eyepie. It is eyepie and not eyepy for installation with pip.

Getting Started

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
ev = load("drusen_patient")

If you have data at hand use one of eyepys import functions.

# Import HEYEX E2E export
ev = ep.import_heyex_e2e("path/to/file.e2e")
# Import HEYEX XML export
ev = ep.import_heyex_xml("path/to/folder")
# Import HEYEX VOL export
ev = ep.import_heyex_vol("path/to/file.vol")
# Import Topcon FDA export
ev = ep.import_topcon_fda("path/to/file.fda")
# Import volume from Duke public dataset
ev = ep.import_duke_mat("path/to/file.mat")
# Import volume form RETOUCH challenge
ev = ep.import_retouch("path/to/volume_folder")

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