VFMA: Topographic Analysis of Sensitivity Data From Full-Field Static Perimetry

Area of Science:

• Ophthalmology
• Medical Imaging
• Computational Vision

Background:

• Static visual field testing is crucial for diagnosing and monitoring visual field defects.
• Traditional analysis methods may not fully capture the complexity of visual field sensitivity.
• Quantifying visual field loss requires robust and comparable metrics.

Purpose of the Study:

• To analyze static visual field sensitivity using topographic models of the hill of vision (HOV).
• To characterize visual function indices derived from HOV volume.
• To develop and validate a software tool for advanced visual field analysis.

Main Methods:

• Developed Visual Field Modeling and Analysis (VFMA) software for static perimetry data.
• Generated 3D HOV models for healthy subjects and retinitis pigmentosa patients.
• Investigated volumetric visual function indices and compared them to conventional metrics, assessing reliability and floor effects.

Main Results:

• VFMA demonstrated good accuracy with high cross-validation coefficients (R²=0.68, IoA=0.89).
• Volumetric indices showed comparable test-retest variability and discriminability to conventional indices.
• Simulated floor effects minimally impacted index repeatability, though large changes affected regional index discriminability.

Conclusions:

• VFMA is an effective tool for clinical and research analysis of static perimetry data.
• Topographic HOV models enhance visualization of field defects.
• Derived volumetric indices quantify visual field sensitivity, aiding diagnosis, monitoring, and therapeutic trial endpoints.