Self-Imaging OCT Alignment and Feedback for Home Eye Exams
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Solution Overview
Problem
Current OCT devices require trained medical personnel for operation and are not suitable for self-imaging by subjects, limiting access and frequency of eye examinations.
Innovation Solution
A self-imaging high-resolution OCT device configured for subjects to operate independently, with automated optical alignment, real-time feedback, and authentication, enabling easy use and image acquisition in remote locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current OCT devices are used in clinical office settings with trained medical personnel, then image quality and diagnostic accuracy are improved, but device accessibility and examination frequency deteriorate
Solution Approach 1:
The OCT device enables subjects to perform self-imaging examinations without requiring trained medical personnel. The system includes automated alignment features, user-friendly interfaces, and real-time feedback mechanisms that allow laypersons to acquire diagnostic-quality eye images independently, thereby dramatically improving accessibility while maintaining measurement precision through automated quality control algorithms
2Ease of operation
If automated optical alignment is implemented in self-imaging OCT devices, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual mechanical alignment operations with automated optical and computational systems. Sensors detect eye position and orientation, while software algorithms automatically adjust optical paths and scanning parameters, substituting complex mechanical adjustment mechanisms with intelligent automated control systems that simplify user interaction despite increased internal system complexity
Solution Approach 2:
The system incorporates real-time feedback mechanisms where sensors continuously monitor eye positioning and provide immediate feedback to both the automated alignment system and the user. This closed-loop control enables the device to self-correct alignment issues dynamically, maintaining ease of operation while managing complexity through intelligent feedback-driven adjustments
3Measurement precision
If real-time feedback is provided to subjects during self-imaging, then image acquisition quality is improved, but device complexity increases
Solution Approach 1:
The OCT device provides real-time feedback to subjects during image acquisition through visual displays and audio cues. The system monitors alignment quality, signal strength, and image formation in real-time, providing immediate guidance to users on how to improve their positioning and eye fixation. This feedback mechanism significantly enhances image acquisition quality by enabling users to self-correct positioning errors while the system manages the computational complexity through integrated processing algorithms
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
Facilitates frequent and accessible eye examinations by subjects, providing high-resolution images with real-time feedback and authentication, enhancing disease monitoring and compliance.
Implementation Method 1
OCT is a non-invasive imaging technique that is used in ophthalmology for viewing cross-sections of eye tissue
Data Source
AI summary
Disclosed herein relates to a system deployed within a Cloud-based communication network, the system comprising: a computing device, comprising a processor coupled to a non-transitory computer-readable storage medium and configured to control a plurality of modules to execute instructions of the non-transitory computer-readable storage medium to obtain identifying information of a subject to whom an optical coherence tomography (OCT) device is prescribed, process the identifying information in accordance with one or more programmable threshold values, generate unique pattern data based on the identifying information in response to detect the identifying information exceeding the one or more programmable threshold values, encrypt the unique pattern data, and transmit encrypted unique pattern data to a computing server system.