Home OCT Autofocus for Self-Operated Retinal Imaging
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Solution Overview
Problem
Existing OCT imaging systems for macular degeneration are expensive and require trained technicians, making them unsuitable for home use and continuous monitoring of retinal diseases.
Innovation Solution
An OCT system with a coupling optics assembly having no moving parts, a viewer assembly to maintain a fixed distance, and a control unit to adjust focus automatically, allowing self-operation by users for retinal imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional OCT imaging systems are used, then imaging quality and diagnostic capability are improved, but system cost increases and ease of operation deteriorates due to requirement for trained technicians
Solution Approach 1:
The system enables self-service operation by incorporating automatic focus adjustment mechanisms and automated image acquisition protocols that allow patients to perform retinal imaging independently without requiring trained technicians, while maintaining diagnostic-quality images through computational algorithms and automated processing
2Measurement precision
If traditional OCT imaging systems are used, then imaging quality is maintained, but device complexity and cost increase
Solution Approach 1:
The system extracts and eliminates complex mechanical focus adjustment mechanisms and manual alignment procedures from the imaging system, replacing them with automated computational focus adjustment and fixed geometric arrangement, thereby reducing device complexity while preserving imaging quality
Solution Approach 2:
The system replaces mechanical focus adjustment mechanisms with computational algorithms that automatically adjust focus parameters through software processing, eliminating the need for complex mechanical focusing components and reducing overall device complexity
3Ease of operation
If home-based imaging is enabled, then ease of operation improves and accessibility increases, but measurement precision may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms through automated image quality assessment algorithms that monitor imaging parameters in real-time and provide automatic adjustments to focus and alignment parameters, ensuring maintained measurement precision while enabling home-based operation
Solution Approach 2:
The system uses computational algorithms to dynamically change focus parameters and imaging settings based on detected eye characteristics and image quality metrics, maintaining measurement precision across different users and environments without requiring manual adjustment
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
Reduces system cost and enables user-operable home-based retinal imaging for monitoring macular degeneration and other retinal diseases without the need for trained technicians.
Implementation Method 1
Optical Coherence Tomography (OCT) is a non-invasive imaging technique relying on low coherence interferometry that can be used to generate a cross-sectional image of the macula
Implementation Method 2
Optical Coherence Tomography (OCT) is a non-invasive imaging technique relying on low coherence interferometry
Implementation Method 3
The sample arm light beam focus mechanism provides focusing of the sample arm light beam onto the user's retina
Data Source
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AI summary
An optical coherence tomography (OCT) system for imaging a retina applies a user specific focus correction to focus a sample arm light beam on the user's retina. An OCT image detector generates an OCT signal. A control unit monitors the OCT signal, controls a reference arm optical path length adjustment mechanism to identify a length of the reference arm optical path for which the OCT signal corresponds to an OCT image of the retina, and varies an operational parameter of the sample arm light beam focus mechanism over a range, while maintaining the length of the reference arm optical path for which the OCT signal corresponds to the OCT image of the retina, to identify a focus correction for the user, based on the OCT signal, for application to the sample arm light beam.