OCT Iris Imaging via Localized Processing and Segmentation
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Solution Overview
Problem
Current Optical Coherence Tomography (OCT) systems lack the capability to effectively image and analyze the unique histological structure and anatomy of the iris, due to its distinct properties and variations among individuals, which complicates the evaluation and treatment of iris-related diseases.
Innovation Solution
A method and system utilizing three-dimensional image data acquired by OCT, comprising a light source, scanner, detector, and processor to generate and process high-resolution images of the iris, allowing for detailed analysis and display of iris morphology, melanocyte concentration, and structural features, and enabling precise identification and treatment of iris anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional OCT systems are used to image the iris, then general ocular tissue imaging is achieved, but the unique histological structure and anatomy of the iris cannot be effectively visualized due to its distinct properties and individual variations
Solution Approach 1:
The patent applies local quality by implementing iris-specific image processing algorithms that adapt to the unique histological structure of the iris. The system uses localized analysis methods that account for individual variations in iris anatomy, applying different processing parameters to different regions of the iris to optimize visualization of its distinct cellular structures and patterns.
Solution Approach 2:
The patent employs parameter changes by adjusting OCT imaging parameters specifically for iris tissue. The system modifies acquisition parameters, processing algorithms, and display settings to optimize the visualization of iris histology. These parameter changes enable the system to capture and process the subtle structural variations inherent in individual iris anatomy, achieving both high resolution and adaptability.
2Measurement precision
If detailed analysis of iris morphology and melanocyte concentration is performed, then diagnostic accuracy for iris conditions is improved, but the complexity of image processing and analysis increases
Solution Approach 1:
The patent applies segmentation by dividing the iris image analysis into distinct functional modules: image acquisition, preprocessing, feature extraction (including melanocyte concentration and morphological parameters), and diagnostic interpretation. This modular approach enables detailed analysis while managing system complexity through organized, separable processing stages that can be independently optimized.
Solution Approach 2:
The patent uses intermediary processing layers that transform raw OCT images into standardized feature representations before final diagnostic analysis. These intermediary steps include normalization, enhancement, and feature extraction algorithms that simplify the complexity of raw iris images while preserving diagnostically relevant information about morphology and melanocyte distribution.
3Measurement precision
If high-resolution three-dimensional imaging of the iris is achieved, then detailed structural information is obtained, but the acquisition time and data processing requirements increase
Solution Approach 1:
The patent employs periodic action through optimized scanning patterns that systematically acquire three-dimensional iris data in structured sequences. The OCT system uses periodic A-scan acquisitions organized into B-scans and C-scans, with timing optimized to capture the complete iris volume while minimizing total acquisition time. This periodic sampling approach enables comprehensive 3D imaging without excessive time requirements.
Solution Approach 2:
The patent applies preliminary action by performing preprocessing operations on OCT data immediately during or right after acquisition, before full three-dimensional reconstruction. This includes real-time noise reduction, signal enhancement, and preliminary feature detection that reduce the computational burden of subsequent detailed analysis, thereby decreasing overall processing time while maintaining high structural detail.
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 high-speed, high-resolution imaging and analysis of the iris, facilitating the diagnosis and treatment of conditions such as iris melanoma, inflammatory diseases, and cosmetic interventions by providing detailed structural information and precise targeting of treatment areas.
Implementation Method 1
a light source for generating a beam of light
Implementation Method 2
Optical Coherence Tomography (OCT) has become a valuable non-invasive imaging technique
Data Source
AI summary
A system and a method may be provided relating to the iris of an eye based on three-dimensional image data acquired by an optical coherence tomography.