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Development and Validation of a Semiautomated Tool for Measuring Periorbital Distances
Jeffrey C Peterson1, George R Nahass1,2, Claudia Lasalle2
1Illinois Eye and Ear Infirmary, Department of Ophthalmology, University of Illinois at Chicago, Chicago, Illinois.
A new semiautomated tool, OrbitJ, provides reliable periorbital measurements for syndromic cleft palate patients, comparable to manual methods. This approach significantly reduces measurement time compared to manual techniques.
Area of Science:
- Ophthalmology
- Medical Imaging
- Computer Vision
Background:
- Accurate periorbital measurements are crucial for diagnosing and monitoring conditions in syndromic cleft palate patients.
- Existing methods for periorbital measurement can be time-consuming and lack reproducibility.
Purpose of the Study:
- To validate a custom FIJI (ImageJ)-based program, OrbitJ, for reproducible and faster periorbital measurements.
- To compare OrbitJ's performance against two artificial intelligence-based tools (OrbitMap and PeriOrbitAI) and manual measurements.
Main Methods:
- A combined technical validation and method comparison study was conducted.
- OrbitJ, a semiautomated tool, was developed using FIJI (ImageJ) for periorbital measurements from 45 patient photographs.
- Comparisons were made with manual measurements and two automated AI tools (OrbitMap, PeriOrbitAI) using metrics like error, reliability, and correlation.
Main Results:
- OrbitJ demonstrated high reliability and correlation with manual measurements (ICC, Pearson correlation coefficient >0.8).
- Automated tools OrbitMap and PeriOrbitAI showed variable reliability, with PeriOrbitAI performing poorly.
- OrbitJ significantly reduced measurement time (5.4 ± 1.9 minutes) compared to manual measurements (13.4 ± 4 minutes).
Conclusions:
- The semiautomated OrbitJ tool offers reliable periorbital measurements comparable to manual methods.
- OrbitJ and OrbitMap provide significant time savings over manual measurements.
- AI tools show potential but require further development for consistent reliability in periorbital analysis.
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Data Validation
Key parameters for method validation include:
Distance Measurements by Taping
Distance Corrections
Electronic Distance Measuring Instruments
Design Example: Measuring Distance Between Two Points with Obstructions
Leveling Equipment

