Fundus Camera Distortion Mapping for Myopia Progression
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Solution Overview
Problem
Current methods fail to effectively measure and characterize ocular distortion, which is a primary trigger for myopia onset and progression, limiting early detection and intervention strategies.
Innovation Solution
A modified fundus camera system projects a known target pattern onto the retinal plane, records the distorted image using an image sensor, and processes it to quantify and map ocular distortion, allowing for early detection of myopia progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wavefront sensors are used to measure ocular aberrations, then measurement of power error, astigmatism, coma and spherical aberration is achieved, but distortion measurement is not possible because traditional sensors measure at a single field point
Solution Approach 1:
The patent divides the measurement process into multiple field points simultaneously measured across the retinal surface. By projecting a grid pattern and measuring distortion at multiple locations at once, the system overcomes the limitation of single-point measurement while managing complexity through parallel measurement architecture.
Solution Approach 2:
The patent transitions from single-point measurement to surface-wide measurement by projecting a two-dimensional grid pattern onto the retinal surface. This dimensional expansion allows distortion to be measured across multiple field points simultaneously, enabling comprehensive distortion characterization without proportionally increasing system complexity.
2Reliability
If ocular distortion measurement is implemented to detect myopia onset, then early detection capability is improved, but current methods fail because they cannot effectively measure or characterize distortion
Solution Approach 1:
The patent introduces a grid projection target as an intermediary element between the imaging system and the retinal surface. This target provides known reference points that allow distortion to be measured and characterized, transforming an unmeasurable phenomenon into a quantifiable metric for myopia detection.
Solution Approach 2:
The patent changes the measurement approach by projecting a structured light pattern and analyzing the distortion of this pattern on the retinal surface. This parameter change from direct ocular measurement to projected pattern analysis makes distortion measurement feasible and reliable for detecting myopia onset and progression.
3Ease of operation
If fundus photography is used for retinal imaging, then real color imaging with low invasiveness is achieved, but distortion measurement capability is not provided
Solution Approach 1:
The patent merges fundus photography capabilities with grid projection and distortion analysis functions. By combining the non-invasive imaging approach of fundus photography with the measurement capability of projected pattern analysis, the system maintains ease of operation while adding precise distortion measurement functionality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables non-invasive, quantifiable measurement of ocular distortion, providing a diagnostic tool for myopia onset and progression, facilitating timely intervention.
Implementation Method 1
an illumination path configured to project light onto a retinal plane of an eye to illuminate a retinal surface area; and an imaging path configured for capturing light reflected from the illuminated retinal surface area
Data Source
AI summary
Provided are systems (e.g., a modified fundus camera system) and methods for measuring ocular distortion, the methods comprising projecting an image of a known target pattern having characteristic features onto an area of a retinal plane/surface to provide a distorted retinal image of the target pattern across the area of the retinal surface, recording the distorted retinal image of the target pattern using an image sensor to provide a captured distorted retinal image of the target pattern across the area of the retinal surface, identifying the characteristic features of the captured distorted retinal image, and comparing the identified characteristic features of the captured distorted retinal image of the target pattern across the area of the retinal surface to corresponding characteristic features of the known target pattern to provide a map of ocular distortion across the area of the retinal surface. Also provided are systems and methods for measuring retinal shape.