Extract OCT and fundus data from proprietary file formats.
Project description
OCT Converter
Python-based tools for reading OCT and fundus data.
Description
In ophthalmology, data acquired from the scanner is often exported in the manufacturer's proprietary file format. OCT-Converter provides python-based tools for extracting images (optical coherence tomography and fundus), as well as associated metadata, from these files.
Supported file formats
- .fds (Topcon)
- .fda (Topcon)
- .e2e (Heidelberg)
- .img (Zeiss)
- .oct (Bioptigen)
- .OCT (Optovue)
- .dcm (both the standard kind, see Dicom, and Zeiss' obfuscated version, see ZEISSDicom)
Installation
Requires python 3.7 or higher.
pip install oct-converter
Usage
A number of example usage scripts are included in examples/.
Here is an example of reading a .fds file:
from oct_converter.readers import FDS
# An example .fds file can be downloaded from the Biobank website:
# https://biobank.ndph.ox.ac.uk/showcase/refer.cgi?id=30
filepath = '/home/mark/Downloads/eg_oct_fds.fds'
fds = FDS(filepath)
oct_volume = fds.read_oct_volume() # returns an OCT volume with additional metadata if available
oct_volume.peek() # plots a montage of the volume
oct_volume.save('fds_testing.avi') # save volume as a movie
oct_volume.save('fds_testing.png') # save volume as a set of sequential images, fds_testing_[1...N].png
oct_volume.save_projection('projection.png') # save 2D projection
fundus_image = fds.read_fundus_image() # returns a Fundus image with additional metadata if available
fundus_image.save('fds_testing_fundus.jpg')
Contributions
Are welcome! Please open a new issue to discuss any potential contributions.
Updates
18 November 2022
- Initial support for reading the Zeiss Dicom format.
7 August 2022
- Contours (layer segmentations) are now extracted from .e2e files.
- Acquisition date is now extracted from .e2e files.
16 June 2022
- Initial support for reading Optovue OCTs
- Laterality is now extracted separately for each OCT/fundus image for .e2e files.
- More patient info extracted from .e2e files (name, sex, birthdate, patient ID)
24 Aug 2021
- Reading the Bioptigen .OCT format is now supported
11 June 2021
- Can now specify whether Zeiss .img data needs to be de-interlaced during reading.
14 May 2021
- Can save 2D projections of OCT volumes.
30 October 2020
- Extract fundus and laterality data from .e2e
- Now attempts to extract additional volumetric data from .e2e files that was previously missed
22 August 2020
- Experimental support for reading OCT data from .fda files.
14 July 2020
- Can now read fundus data from .fda files.
Related projects
- uocte inspired and enabled this project
- LibE2E and LibOctData provided some additional descriptions of the .e2e file spec
- eyepy can read HEYEY XML and VOL formats, and eyelab is a tool for annotating this data
Clinical use
This is research software and any data extracted using it should not be used for clinical decision-making.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file oct_converter-0.5.0.tar.gz
.
File metadata
- Download URL: oct_converter-0.5.0.tar.gz
- Upload date:
- Size: 19.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4901fc64e9eba7df0e2e513c308af2e04641bb7e3400b5a53ba3d4ee8ef737fc |
|
MD5 | 8028b984f226ee29f0a888d0a5c6ea38 |
|
BLAKE2b-256 | 34d1eb7286850c39682a3c694da946975c8ebb8b058cc6cb752bd9d0c23e7ce2 |
File details
Details for the file oct_converter-0.5.0-py3-none-any.whl
.
File metadata
- Download URL: oct_converter-0.5.0-py3-none-any.whl
- Upload date:
- Size: 25.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a3fd706b7541de871e764935cdc33053fe3d90582226d9dfbb6acb5c499e848d |
|
MD5 | 4fd991f59c23bc59126a6d13f54ea292 |
|
BLAKE2b-256 | 39d6b509d97b7226229d6e2c6142101dc82a8b8c880e7fa2f8fa295c4f654514 |