Cyclopean Binocular Visual Field Mapping With Non-Euclidean Geometry
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Solution Overview
Problem
Traditional visual field testing methods are subjective, tedious, require specialized setups, and fail to assess binocular vision, making them unsuitable for remote and home-based assessments, especially for conditions like glaucoma.
Innovation Solution
A system and method using a non-Euclidean framework for dynamic fixation-based cyclopean binocular visual field mapping, incorporating dichoptic stimuli and real-time eye-tracking technology to map blind spots and binocular visual fields, allowing self-diagnosis in ordinary lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional visual field testing methods are used, then visual field assessment can be performed, but the process is subjective and requires specialized setups and clinic visits
Solution Approach 1:
The patent replaces traditional mechanical perimetry equipment with a computer-based visual field assessment system. The system uses software-generated stimuli displayed on a screen, automated eye tracking, and digital signal processing to objectively measure visual field defects, eliminating the need for complex mechanical perimetry devices and specialized clinic setups.
Solution Approach 2:
The system enables patients to perform visual field assessments independently at home using a standard computer or tablet. The automated eye tracking and stimulus presentation allow patients to complete the test without requiring a trained administrator or specialized equipment, making the assessment self-serviceable and accessible in various settings.
2Adaptability or versatility
If traditional perimetry is used, then monocular vision can be assessed, but binocular vision cannot be evaluated
Solution Approach 1:
The patent divides the visual field assessment into separate monocular and binocular testing components. The system first assesses each eye independently using dichoptic stimulus presentation, then integrates the results to evaluate binocular vision function. This segmentation allows comprehensive assessment of both monocular and binocular vision, capturing information that traditional perimetry misses.
Solution Approach 2:
The system merges monocular visual field data from both eyes to create a comprehensive binocular vision assessment. By combining the results of dichoptic stimulus presentation and eye tracking data from both eyes, the system evaluates how the visual system integrates information from both eyes, providing insight into binocular vision function and stereo vision capabilities.
3Adaptability or versatility
If computer-based visual field testing is used, then remote assessment is enabled, but optimal luminance corrections and darkened room are required
Solution Approach 1:
The system dynamically adjusts stimulus luminance and presentation parameters based on ambient lighting conditions and individual patient requirements. The software automatically modulates stimulus brightness, contrast, and duration to ensure optimal visibility across varying environmental conditions, eliminating the need for controlled darkened rooms while maintaining assessment accuracy.
4Measurement precision
If static perimetry test is used, then visual field defects can be detected, but the test is tedious and time-consuming
Solution Approach 1:
The system employs continuous stimulus presentation and automated eye tracking throughout the test duration. Rather than presenting discrete static stimuli that require patient response for each location, the system continuously displays moving or changing stimuli while automatically recording eye position and detection responses, maintaining useful testing action throughout and reducing overall test time while preserving measurement precision.
Data Source
AI summary
A binocular visual field (VF) testing system and a method employing spherical (non-Euclidean) geometric modeling and eye-tracking technology to generate cyclopean visual field maps are disclosed. The system projects dichoptic stimuli to each eye independently at controlled fixation distances and dynamically records vergence responses using eye tracking. A non-Euclidean spatial encoding model based on logarithmic spirals and Jacobian analysis is applied to the resulting binocular data, enabling three-dimensional topographic field mapping. This approach extends traditional monocular field testing by accounting for retinal curvature, binocular integration, and fixation depth effects, resulting in volumetric visual field models more representative of real-world spatial perception. The system includes hardware (BINOSCOPE) and software modules that implement real-time depth encoding, topological mapping, and boundary detection of peripheral visual fields.