Automated Vessel Tortuosity Measurement from Retinal Imaging

What problem are we solving?

Vessel tortuosity is a useful biomarker in multiple retinal and systemic conditions, but measurement is often subjective, inconsistent, or requires specialized tools that are not easily reproducible.

What we are building

An automated, open, and reproducible pipeline to:

• preprocess images
• segment/extract vessels (or accept vessel masks)
• compute tortuosity metrics (multiple definitions supported)
• export publication-ready summaries and QC overlays

My role

Primary developer and designer, algorithm selection, implementation, validation strategy, and documentation for open-source release.

Current status

Core pipeline stable; ongoing refinement, validation, and packaging for public release.

Outputs

• Open-source repository (planned)
• Methods write-up and example datasets (planned)