VFPy

VFPy supports automated digitalization of ophthalmic visual field test results, such as those produced by the Humphrey Field Analyzer, using optical character recognition (OCR). It reads a scanned printout or exported DICOM file, extracts the numerical test grid, and provides a basis for further automated analyses of visual field data that would otherwise need to be transcribed by hand.

The project relies on Tesseract OCR together with Ghostscript and ImageMagick for image preprocessing, alongside several Python packages for image handling and DICOM parsing. It has not been actively developed since 2022; it is shared as-is in case it is useful as a starting point for similar visual-field digitalization efforts.

• Preoperative radiological compression features and their relationship with pre- and postoperative visual field defects in pituitary macroadenomas: a retrospective cohort from the neuro-ophthalmological clinic

  Fonk, Tabak, Notting, Verbist, Najafabadi, Vught, Luyten, Verstegen, Meeren, Biermasz, Beenakker, Notting and Pelsma
  Frontiers in Ophthalmology (2026), doi: 10.3389/fopht.2026.1724655 
• The Value of Static Perimetry in the Diagnosis and Follow-up of Negative Dysphotopsia

  Rozendal, Vught, Luyten and Beenakker
  Optometry and Vision Science (2022), doi: 10.1097/opx.0000000000001918 

License

GPL-3.0

Last updated

Mar 23, 2022

Dependencies

Dependencies could not be fetched automatically from the repository; see the repository for details.