Dynamic OCT Feedback for Tissue Topography Imaging
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Solution Overview
Problem
Conventional optical coherence tomography (OCT) systems face challenges in accurately imaging blood vessel walls with varying topography due to fixed scanning parameters, leading to incomplete data collection and reduced signal-to-noise ratio, as they fail to adjust the scanning window based on the tissue surface geometry.
Innovation Solution
The implementation of real-time dynamic optical feedback to adjust the scanning waveform and focus based on the detected tissue surface position, using a rocking mirror and galvanometric adjustments to optimize the coherence gate and confocal parameters, allowing for adaptive scanning and improved image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed scanning window is used in conventional OCT, then the system is simple and fast, but the signal-to-noise ratio decreases and sensitivity is reduced when imaging surfaces with varying topography
Solution Approach 1:
The patent implements dynamic scanning control where the scanning window parameters (position, size, shape) are adjusted in real-time based on feedback about the tissue surface topography. The system transitions from a static fixed window to a dynamic adaptive window that follows the contours of the imaged surface, thereby maintaining high signal-to-noise ratio without requiring excessive system complexity
Solution Approach 2:
The patent employs feedback mechanisms where the detected surface position and topography information are fed back to the scanning control system. This feedback loop enables the system to automatically adjust the scanning window parameters to match the actual tissue geometry, optimizing signal collection while managing system complexity through intelligent control
2Adaptability or versatility
If the scanning window is made larger to cover more tissue area, then complete data collection is achieved, but the signal-to-noise ratio and sensitivity decrease due to collecting information over a larger area in the same time
Solution Approach 1:
The system dynamically adjusts the scanning window size and position based on the detected tissue surface area and topography. When the tissue surface is flat, a smaller window is used to maintain high signal-to-noise ratio. When the surface is irregular or extends beyond the initial window, the system expands the window adaptively, thereby achieving complete coverage without permanently sacrificing sensitivity
Solution Approach 2:
The system performs preliminary scanning with a smaller window to quickly identify the tissue surface boundaries and topography. This preliminary action provides the information needed to calculate the optimal scanning window parameters for subsequent scans, enabling the system to expand coverage only when necessary while maintaining signal quality
3Adaptability or versatility
If the focal location is fixed in the sample arm, then the system is simple and stable, but the focus cannot be adjusted to different tissue depths or surfaces with varying topography
Solution Approach 1:
The patent implements dynamic focus adjustment where the focal location in the sample arm is moved in real-time based on feedback about the tissue surface position. The focus control mechanism responds to detected surface depth and topography, automatically repositioning the focal plane to match the current tissue geometry, thereby achieving versatile focus adjustment without requiring overly complex mechanical systems
Solution Approach 2:
The system uses feedback from the detected tissue surface position and depth information to automatically adjust the focal location in the sample arm. This feedback-driven focus control enables the system to adapt to different tissue depths and surface geometries while maintaining relative simplicity through automated control based on detected parameters
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 enables more accurate and sensitive imaging of irregular tissue surfaces by dynamically adjusting the scanning parameters, increasing the signal-to-noise ratio and maintaining optimal focus, thereby enhancing the quality and completeness of the imaging process.
Implementation Method 1
A rocking mirror can be moved much faster and more accurately to retain synchronicity with the computer and the scanning probe
Implementation Method 2
Optical coherence tomography is an imaging technique that measures the interference between a reference beam of light and a detected beam of light that has impinged on a target tissue area
Data Source
AI summary
Methods for optical imaging, particularly with optical coherence tomography, using a low coherence light beam reflected from a sample surface and compared to a reference light beam, wherein real time dynamic optical feedback is used to detect the surface position of a tissue sample with respect to a reference point and the necessary delay scan range. The delay is provided by a tilting/rotating mirror actuated by a voltage adjustable galvanometer. An imaging probe apparatus for implementing the method is provided. The probe initially scans along one line until it finds the tissue surface, identifiable as a sharp transition from no signal to a stronger signal. The next time the probe scans the next line it adjusts the waveform depending on the previous scan. An algorithm is disclosed for determining the optimal scan range.