Smartphone Corneal Topography with Spectral Beam Alignment
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Solution Overview
Problem
Existing corneal topography systems, especially those attached to smartphones, face challenges in accurately capturing Placido rings images due to manual determination of vertex distance, leading to poor image quality and unfocused images, as they lack internal calibration mechanisms.
Innovation Solution
A mobile communication device-based corneal topography system that includes an illumination system, an imaging system coupled with an image sensor, and a topography processor, which uses a fixation beam and a ranging beam of different wavelengths to automatically determine alignment and capture high-quality Placido rings images by overlapping the beams and then turning off the light sources to capture the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of vertex distance is used, then the system is simpler and easier to manufacture, but image quality deteriorates and measurement precision decreases
Solution Approach 1:
The system performs preliminary actions by projecting alignment beams (fixation beam and ranging beam) before capturing the Placido rings image. These beams establish the correct vertex distance and optical alignment in advance, ensuring that when the actual measurement is taken, the imaging conditions are already optimized. This preliminary alignment process eliminates the need for manual vertex distance determination while maintaining system simplicity.
Solution Approach 2:
The patent introduces intermediary elements (fixation beam and ranging beam) that mediate between the operator and the final image capture. These beams serve as intermediate tools to establish proper optical alignment and vertex distance without requiring the operator to manually measure or calculate these parameters. The beams act as mediators that automatically convey alignment information to the imaging system.
2Reliability
If manual alignment is used, then the device is easier to operate, but image quality deteriorates due to operator mistakes
Solution Approach 1:
The system implements feedback mechanisms by using the ranging beam to provide real-time information about optical alignment and vertex distance. The fixation beam provides a reference point for the patient to maintain proper eye positioning. This feedback loop allows the system to automatically detect and correct alignment issues without requiring operator intervention, thereby improving reliability while maintaining ease of operation.
Solution Approach 2:
The alignment system performs self-service by automatically determining the correct vertex distance and optical alignment through the interaction of fixation and ranging beams. The system serves itself by using these beams to automatically establish proper imaging conditions without requiring manual adjustment by the operator. This self-alignment capability ensures consistent image quality while keeping the operation simple.
3Measurement precision
If internal calibration mechanism is added, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent replaces mechanical calibration systems with an optical-based calibration approach using fixation and ranging beams. Instead of using physical measurement tools or mechanical adjustment mechanisms, the system uses light beams to establish and verify the correct optical path and vertex distance. This substitution of mechanical systems with optical fields simplifies the overall device complexity while maintaining high measurement precision.
Solution Approach 2:
The system utilizes parameter changes in light wavelengths between the fixation beam and ranging beam to achieve calibration. By using different wavelengths (colors) of light for different purposes (fixation vs. ranging), the system can extract multiple pieces of information from the optical path without adding physical complexity. This parameter-based calibration approach provides precise measurement capability while keeping the device design relatively simple.
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
The system ensures accurate and automatic capture of corneal topography images, reducing human error and improving image quality by aligning the beams spectrally and determining the correct vertex distance, thereby generating precise topography maps and data files.
Implementation Method 1
tracking the first wavelength of light and the second wavelength of light with spectral analysis and determining the fixation beam and the ranging beam are aligned
Implementation Method 2
an illumination system configured to generate an illumination pattern reflected off a cornea of a subject
Data Source
AI summary
A mobile communication device-based corneal topography system includes an illumination system, an imaging system, a topography processor, an image sensor, and a mobile communication device. The illumination system is configured to generate an illumination pattern reflected off a cornea of a subject. The imaging system is coupled to an image sensor to capture an image of the reflected illumination pattern. A topography processor is coupled to the image sensor to process the image of the reflected illumination pattern. The mobile communications device includes a display, the mobile communications device is operatively coupled to the image sensor. The mobile communications device includes a mobile communications device (MCD) processor. A housing at least partially encloses one or more of the illumination system, the imaging system, or the topography processor.


