Virtual reality-based measurement of ocular deviation in strabismus

Area of Science:

• Ophthalmology
• Medical Technology
• Image Processing

Background:

• Strabismus, an abnormal ocular deviation, is typically diagnosed using cover tests.
• Current diagnostic methods rely heavily on clinician experience, introducing potential variability.
• An automated measurement technique for ocular deviation using virtual reality (VR) was developed.

Purpose of the Study:

• To develop an automated technique for measuring ocular deviation in strabismus patients.
• To create a VR-based system simulating clinical strabismus diagnosis.
• To enhance the accuracy and efficiency of strabismus assessment.

Main Methods:

• A VR display system simulated standard strabismus diagnosis steps with alternating fixation targets.
• Infrared (IR) cameras recorded patient eye motions while viewing 3D scenes.
• Image processing and pupil tracking techniques were employed for eye movement analysis.
• Two strabismus angle estimation strategies were implemented: direct measurement and stepwise approximation.

Main Results:

• Experiments conducted on strabismus patients demonstrated good agreement between the VR system measurements and doctors' assessments.
• The automated technique accurately identified ocular deviation.

Conclusions:

• The proposed VR system accurately and efficiently identifies ocular deviation.
• This system is suitable for small spaces and exhibits high tolerance for head movements compared to other camera-based systems.
• The automated VR approach offers a reliable and objective method for strabismus diagnosis.