Retinal Imaging Flash Intensity Adjustment for Pigmentation
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Solution Overview
Problem
Autonomous systems for diagnosing retinal abnormalities face challenges with pre-set flash intensities, leading to under-exposed or over-exposed images due to retinal pigmentation, which can obscure biomarkers and require multiple flashes, potentially damaging the patient's eyes.
Innovation Solution
A system that determines retinal pigmentation and adjusts flash intensity based on initial image exposure analysis, using infrared light or external images to prevent suboptimal exposure, ensuring proper image capture with reduced flash exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-set flash intensity is used for retinal imaging, then the imaging system is simple to operate, but the image quality deteriorates due to under-exposure or over-exposure caused by retinal pigmentation
Solution Approach 1:
The system performs preliminary determination of retinal pigmentation characteristics before capturing the diagnostic retinal image. An initial image is captured and analyzed to assess pigmentation levels, and the flash intensity is adjusted accordingly before the actual diagnostic imaging occurs. This preliminary assessment and adjustment prevents under-exposure or over-exposure in the final diagnostic image.
2Reliability
If multiple flashes are used to capture sufficient retinal images, then diagnostic accuracy is improved, but patient eye damage risk increases
Solution Approach 1:
The system captures an initial retinal image and analyzes its exposure quality to provide feedback on pigmentation characteristics. Based on this feedback, the flash intensity is dynamically adjusted for subsequent diagnostic imaging. This closed-loop feedback mechanism ensures optimal image quality while minimizing the number of flashes required, thereby reducing cumulative flash exposure to the patient's eyes.
3Manufacturing precision
If flash intensity is adjusted based on retinal pigmentation, then image exposure quality is improved, but device complexity increases
Solution Approach 1:
The system dynamically changes the flash intensity parameter based on the determined retinal pigmentation characteristics. The processor analyzes the initial image to assess pigmentation levels and automatically adjusts the flash intensity parameter accordingly. This parameter adaptation allows optimal image exposure quality without requiring complex hardware modifications, as the adjustment is achieved through software-controlled parameter changes.
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
Prevents over-exposure and under-exposure of retinal images, reducing the need for multiple flashes and improving diagnostic accuracy by optimizing flash intensity for individual retinal pigmentation, thus enhancing patient safety and image quality.
Implementation Method 1
infrared light may be used to determine retinal pigmentation
Implementation Method 2
capture an image that is illuminated by the flash component
Data Source
AI summary
Systems and methods are disclosed herein for adjusting flash intensity based on retinal pigmentation. In an embodiment, a processor determines a retinal pigmentation of a retina of an eye positioned at an imaging device. The processor commands the imaging device to adjust an intensity of a flash component from a first intensity to a second intensity based on the retinal pigmentation. The processor commands the imaging device to capture an image that is lit by the flash component at the second intensity, and receives the image from the imaging device.


