Retinal Curvature Analysis in OCT Imaging Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current OCT technologies, such as TD-OCT and SD-OCT, face challenges in efficiently capturing and analyzing three-dimensional shape changes of retinal layers, which are crucial for diagnosing diseases like glaucoma, with existing methods failing to effectively display and quantify these changes.
Innovation Solution
An image processing system that includes an analysis unit to obtain curvature information from tomographic images and categorize eyes based on analysis results, using SD-OCT or SS-OCT to capture three-dimensional retinal shapes, and displaying shape features along with disease indices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If TD-OCT or SD-OCT is used to capture tomographic images, then image acquisition speed is improved, but the ability to effectively display and analyze three-dimensional shape changes of retinal layers deteriorates
Solution Approach 1:
The patent transitions from two-dimensional tomographic images to three-dimensional shape analysis by calculating curvature values and generating 3D visualizations of retinal layers. This dimensional enhancement allows effective display and analysis of shape changes while maintaining the fast acquisition speed of SD-OCT and SS-OCT technologies.
Solution Approach 2:
The patent introduces curvature as a new parameter to quantify retinal shape changes. By calculating curvature values from tomographic images and using them for classification and visualization, the system effectively displays three-dimensional shape information without compromising acquisition speed.
2Measurement precision
If layer boundaries are detected and thicknesses are measured as in Japanese Patent Laid-Open No. 2008-073099, then quantitative measurement of retinal layers is achieved, but three-dimensional shape analysis and effective display deteriorates
Solution Approach 1:
The patent combines layer boundary detection and thickness measurement with three-dimensional shape analysis. By integrating curvature calculation and 3D visualization capabilities into the existing measurement framework, the system achieves both precise quantitative measurement and effective three-dimensional display without significant increase in complexity.
3Ease of operation
If only two-dimensional tomographic images are used for diagnosis, then simplicity of analysis is maintained, but diagnostic accuracy for shape changes deteriorates
Solution Approach 1:
The patent creates three-dimensional shape models and curvature maps as visual copies of the retinal structure. These 3D representations maintain ease of visual interpretation while significantly improving diagnostic accuracy for shape changes, allowing clinicians to understand complex geometry without overwhelming complexity.
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 effective display and analysis of retinal shape features, providing a criterion for determining if an eye suffers from a disease by generating and displaying three-dimensional shape data and curvature maps, thereby improving diagnostic accuracy.
Implementation Method 1
A tomography apparatus using an OCT (Optical Coherence Tomography), which utilizes interference caused by low coherent light
Implementation Method 2
an SD-OCT (Spectral Domain OCT) which obtains an interferogram by a spectroscope using a broadband light source
Data Source
AI summary
An image processing system includes: an analysis unit configured to obtain information indicating a degree of curvature of a retina from a tomographic image of an eye to be examined; and an obtaining unit configured to obtain a category of the eye to be examined based on an analysis result.