OCT Self-Testing System Using Camera Position Offset Detection
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Solution Overview
Problem
Traditional optical coherence tomography (OCT) devices are bulky, expensive, and require patients to frequently visit hospitals for inspections, making it difficult to detect ocular diseases like macular degeneration and diabetic retinopathy in their early stages, as patients often seek medical care only when symptoms are severe.
Innovation Solution
An OCT self-testing system comprising a camera device with an image-capturing and processing module, an external display module, and a communication module, which allows patients to capture and analyze ocular images independently, determining position offset values and transmitting images for remote evaluation, enabling self-testing and monitoring of ocular diseases without the need for frequent hospital visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional OCT devices are used for ocular disease inspection, then measurement precision is improved, but device complexity and cost increase, requiring hospital-based operation
Solution Approach 1:
The patent uses a camera to capture ocular images as a simplified copy of the full OCT imaging process. Instead of requiring the complete OCT system, the invention captures representative ocular images that can be analyzed to detect diseases like macular degeneration, thereby reducing device complexity while maintaining diagnostic capability
Solution Approach 2:
The patent extracts the essential function of OCT (capturing ocular images for disease detection) from the complex OCT system. By separating the image capture function from the full OCT processing chain and using a simple camera for self-testing, the invention isolates the critical diagnostic element while eliminating unnecessary complexity
2Measurement precision
If patients frequently visit hospitals for OCT inspection, then disease detection accuracy is improved, but loss of time and labor increase
Solution Approach 1:
The patent enables patients to perform ocular self-examinations at home using a camera and image analysis algorithm. Patients can capture their own ocular images, process them through the system, and obtain diagnostic results without requiring hospital visits, thereby eliminating time and labor losses while maintaining disease detection capability
Solution Approach 2:
The patent performs preliminary disease screening through automated image analysis at home before potential hospital visits. By pre-processing and初步 diagnosing ocular conditions through the camera system, the invention filters out cases that don't require immediate medical attention, reducing unnecessary hospital trips and associated time losses
3Reliability
If patients monitor ocular diseases persistently, then early detection capability is improved, but device complexity and operation difficulty increase
Solution Approach 1:
The patent designs an automated system where patients simply need to position their eye in front of the camera for image capture. The system automatically processes images, compares them with reference data, and provides diagnostic results without requiring patients to understand complex操作流程, making persistent monitoring simple and accessible
Solution Approach 2:
The patent provides immediate feedback to patients through the display device, showing whether their ocular images indicate normal or abnormal conditions. This real-time feedback mechanism guides patients on whether to continue monitoring or seek medical attention, simplifying the decision-making process for persistent monitoring while improving early detection reliability
Data Source
AI summary
The invention provides an optical coherence tomography self-testing system, an optical coherence tomography method and an ocular disease monitoring system. The optical coherence tomography self-testing system comprises a camera device, an external display module and a communication module. The camera device includes an image-capturing module and a processing module. The image-capturing module captures a plurality of ocular images. The processing module is connected to the image-capturing module, and the processing module determines whether a position offset value between the pupil center position of a tested eyeball and an optical axis of the image-capturing module is within a preset error range. If the position offset value is within the preset error range, the plurality of ocular images is stored as a plurality of displayed images. The external display module displays one of the plurality of displayed images and a status light after the image-capturing module has completed image capturing.