EyeStudio and OphthoRuler 2.0: An iPhone and Desktop Platform for Oculofacial Image Analysis and Anthropometric Measurement
Author: Jeremy Moreau Base Hospital / Institution: University of CalgaryePoster presentation
Abstract ID: 26-441Purpose
Reliable eyelid and periocular measurements are needed for diagnosis, surgical planning, postoperative assessment, and outcomes research. Generic image analysis programs such as ImageJ remain widely used for photographic measurement, but they are time-consuming, operator-dependent, and not designed for oculoplastic workflows such as eyelid-specific segmentation, longitudinal review, or model comparison. EyeStudio and OphthoRuler 2.0 extend prior smartphone work into a dedicated iPhone and desktop platform for oculofacial capture, review, segmentation, measurement, and model validation.
Methods
OphthoRuler 2.0 supports iPhone image capture and automated measurements. EyeStudio is a newly developed desktop application that supports review, segmentation, quality control, adjustment, and export of oculofacial photographs. Images can be synchronised between a user’s iPhone and desktop workspace to allow for centralised storage and organisation for research purposes. A modular architecture allows interchangeable segmentation and comparison of AI-based measurement models.
Results
In prior validation using 120 healthy control images from the Chicago Face Database, OphthoRuler showed mean differences versus manual ImageJ measurements of 0.75 mm for margin-reflex distance 1, -0.58 mm for margin-reflex distance 2, 0.16 mm for palpebral fissure height, and -0.37 mm for palpebral fissure width. Reliability did not differ significantly across sex or ethnicity groups. EyeStudio/OphthoRuler 2.0 adds iPhone-to-desktop synchronisation, structured image organisation, manual segmentation tools, and interchangeable artificial intelligence model support.
Conclusion
EyeStudio and OphthoRuler 2.0 provide a practical software platform for oculoplastic image analysis. By replacing generic photo-based workflows with purpose-built iPhone and desktop apps, the platform may allow for more consistent research documentation and save time with automated measurements and segmentation while allowing for iterative development of improved AI models for oculofacial anthropometric analysis.
Additional Authors
| First name | Last name | Base Hospital / Institution |
|---|---|---|
| Karim G. | Punja | University of Calgary |
