Smartphone Retinal Imaging via Macro Lens Adapter
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Solution Overview
Problem
Current portable medical devices for retinal image acquisition lack the capability for quantitative analysis, and existing software tools for image analysis are not integrated with portable devices, limiting their clinical utility.
Innovation Solution
A smartphone-based system combining a macro lens for high-resolution retinal image acquisition and a software app that performs quantitative analysis of retinal damage indices, including arteriolar-to-venular ratio, tortuosity, and fractal dimension, using cloud-based computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive and non-portable devices are used for retinal image acquisition, then image quality is improved, but portability and cost are worsened
Solution Approach 1:
A macro lens adapter serves as an intermediary component that attaches to the smartphone camera to enhance its optical capabilities. This intermediary device enables the smartphone to capture high-resolution retinal images by magnifying the optical path, thereby bridging the gap between the limited capabilities of smartphone cameras and the requirements for quality retinal imaging without requiring a full portable ophthalmoscope
Solution Approach 2:
The invention merges the smartphone's camera functionality with the macro lens adapter to create an integrated portable imaging system. By combining these two components, the system achieves both portability (inherent in smartphones) and improved image quality (provided by the macro lens), resolving the contradiction between device complexity and measurement precision
2Ease of operation
If qualitative naked-eye assessment is used for retinal image analysis, then simplicity is maintained, but diagnostic precision and quantitative capability are worsened
Solution Approach 1:
The system performs self-service through automated image analysis algorithms that process the captured retinal images and generate quantitative assessments automatically. The smartphone application includes built-in processing capabilities that eliminate the need for manual qualitative assessment, providing objective diagnostic data while maintaining ease of operation through automated workflows
Solution Approach 2:
The invention replaces the mechanical/visual process of naked-eye assessment with computational image analysis. Digital processing algorithms substitute for human visual inspection, enabling quantitative measurement of retinal parameters such as vessel diameter, tortuosity, and fractal dimension, thereby improving diagnostic precision while maintaining simplicity through automated computation
3Device complexity
If portable devices with acquisition capability are used, then portability is improved, but quantitative analysis capability is worsened
Solution Approach 1:
The smartphone-based system achieves multi-functionality by integrating both image acquisition and quantitative analysis capabilities into a single portable device. The macro lens adapter enables retinal image capture, while the accompanying smartphone application provides automated quantitative analysis of retinal parameters, making the device universal for both diagnostic functions without requiring separate equipment
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 a portable, inexpensive device for both acquisition and quantitative analysis of retinal images, effectively discriminating pathological conditions like hypertensive retinopathy and cerebrovascular disease, validated in clinical studies.
Implementation Method 1
The optical device is a macro lens to be mounted on the smartphone body to acquire retinal images
Data Source
AI summary
The present invention essentially consists of an integrated system that allows acquisition and quantitative analysis of high-resolution images of the retina. The integrated system includes an optical device and a software app. The optical device is a smartphone-adapted lens for acquisition of high-resolution images of the retina. The software app is a smartphone app for quantitative analysis of the retinal images acquired through the hardware component of the device. The computation is carried out by means of cloud-based technologies. Quantitative indices of retinal damage are obtained. These indices are proven for being relevant for both clinical and research purposes.