Automated Optic Nerve Head Assessment Using SD-OCT
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Solution Overview
Problem
Current methods for diagnosing glaucoma, such as Heidelberg Retina Tomography and stereo disc photography, suffer from subjective variability and lack of high-resolution depth measurement, limiting their effectiveness in early detection and monitoring of optic nerve head changes.
Innovation Solution
A fully automated optic nerve head (ONH) assessment system using Spectral Domain Optical Coherence Tomography (SD-OCT) generates enface images, applies deformable models and unsupervised learning to detect disc margins, internal limiting membrane, and retinal pigment epithelial layers, extracting key parameters and classifying images as normal or abnormal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ophthalmic approaches (HRT, stereo fundus camera) are used to measure 3D structure and assess ONH, then some disc features can be quantified, but manual delineation of disc margin is required leading to substantial inter-observer variability
Solution Approach 1:
The patent replaces manual mechanical delineation with an automated image processing system that uses optical coherence tomography data to automatically detect and measure disc margin and cup margin, eliminating human subjectivity and inter-observer variability while maintaining measurement precision
Solution Approach 2:
The system performs self-measurement by automatically analyzing the OCT images to extract disc and cup parameters without requiring manual intervention, making the measurement process objective and reproducible across different observers
2Ease of manufacture
If stereo disc photography is used for ONH assessment, then the device is common and cheap, but it cannot achieve high resolution in depth and depth information is mathematically calculated speculation rather than direct measurement
Solution Approach 1:
The patent replaces stereo photography's mathematical calculation method with direct optical measurement using spectral domain optical coherence tomography, which provides micrometer-resolution depth information through physical optical sectioning rather than speculative calculation
Solution Approach 2:
The system changes the measurement parameter from mathematical estimation to direct optical coherence measurement, achieving micrometer-scale depth resolution while maintaining ease of use through automated analysis
3Loss of information
If manual delineation of disc margin is performed, then disc features can be extracted, but the process is subjective and time-consuming
Solution Approach 1:
The system automatically extracts disc features by performing self-analysis of the OCT images using image processing algorithms, eliminating the need for manual delineation and significantly reducing assessment time while maintaining complete feature extraction
Solution Approach 2:
The patent replaces the manual mechanical process of delineation with automated computational image analysis that rapidly extracts all necessary disc and cup parameters without human intervention
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
Provides reliable, objective, and detailed 3D structural information for early detection and monitoring of glaucoma progression, outperforming conventional methods by reducing inter-observer variability and enhancing depth measurement accuracy.
Implementation Method 1
Spectral domain optical coherence tomography (SD-OCT) is a new high resolution imaging technique
Data Source
AI summary
A fully automated optic nerve head assessment system, based on spectral domain optical coherence tomography, provides essential disc parameters for clinical analysis, early detection, and monitoring of progression.