OCT Scanner Phase Amplitude Analysis for Ocular Tissue Diffusion
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Solution Overview
Problem
Existing OCT systems face challenges in accurately measuring ocular tissue characteristics due to eye motion during in-vivo testing, which distorts the scanning patterns and affects the precision of tissue property measurements.
Innovation Solution
The proposed OCT scanning system uses a computer processor to control the OCT scanner, implementing a scanning sequence that includes multiple scans to obtain OCT data representing phase and amplitude information. The system determines the rate of change of signal data, calculates a growth constant, and derives a diffusion coefficient for ocular tissue, enabling the measurement of ocular tissue characteristics such as thickness, topography, and curvature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional OCT systems are used for in-vivo testing, then the scanning process can be performed, but eye motion during testing distorts the scanning patterns and reduces measurement precision
Solution Approach 1:
The system performs preliminary actions by acquiring multiple scans (e.g., 5-10 scans) at each measurement location before final analysis. This preliminary multi-scan approach allows the system to capture eye motion variations and subsequently compensate for them through signal processing, thereby maintaining scanning pattern stability despite physiological eye movements during testing
Solution Approach 2:
The system implements feedback by comparing the actual scanning pattern against the intended scanning pattern, detecting deviations caused by eye motion, and using this information to compensate for the distortions in the final measurement. The processor analyzes the relationship between amplitude and phase data across multiple scans to identify and correct motion-induced errors
2Reliability
If multiple scans are performed to compensate for eye motion, then measurement stability improves, but the scanning time increases
Solution Approach 1:
The system applies partial action by performing a limited number of scans (e.g., 5-10 scans) at each location rather than continuous scanning. This partial repetition provides sufficient data for motion compensation while avoiding excessive scanning time. The processor selectively processes only the necessary number of scans to achieve reliable measurements without unnecessary time consumption
3Measurement precision
If the scanning sequence is extended to capture multiple scans, then tissue characteristic measurement accuracy improves, but the complexity of the scanning protocol increases
Solution Approach 1:
The system achieves universality by using the same OCT scanner and processing algorithms for multiple measurement locations (anterior segment, posterior segment, and optic nerve). The multi-functional processing pipeline handles amplitude data, phase data, and their relationships uniformly across different ocular structures, simplifying the overall protocol despite the extended scanning sequence
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
This approach allows for accurate and stable measurement of ocular tissue characteristics without the need for contrast agents or modifications to conventional OCT systems, providing improved diagnostic capabilities for ocular diseases.
Implementation Method 1
OCT data is based on a reflected version of the optical signal; the OCT data being representative of phase, intensity/amplitude or both phase and amplitude data of the reflected version of the optical signal
Data Source
AI summary
An optical coherence tomography (OCT) scanning system for measuring ocular tissue characteristics of a patient's eye. The system includes an OCT scanner configured to implement a scanning sequence on the ocular tissue that scans the ocular tissue with an optical signal to obtain OCT data based on a reflected version of the optical signal. The system includes a computer with a processor configured to provide control signals to the OCT scanner to implement the scanning sequence, and to determine a rate of change of the phase or amplitude data associated with the scans. The system determines a growth constant of the reflected version of the optical signal based on the rate of change of the phase or amplitude data, and determines, based on the growth constant, a diffusion coefficient associated with the cornea. The system determines, based on the diffusion coefficient, a quantitative parameter of the cornea.