OCT System Axial Motion Correction via Doppler Shift

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Solution Overview

Problem

Hand-held optical coherence tomography systems face challenges with image distortion due to non-uniform axial motion during manual scanning, which affects image quality and can be risky, especially when scanning fragile tissues like the retina.

Innovation Solution

A distortion-corrected optical coherence tomography system that includes a data processing system capable of calculating and correcting axial motion using Doppler shift, allowing for accurate shifting of A-scans to mitigate image distortion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If hand-held OCT scanning is used, then ease of operation is improved, but image distortion increases due to non-uniform axial motion

Engineering Contradiction:
Improveease of operationVSAvoidimage quality
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The system continuously monitors axial motion through Doppler shift detection and feeds this information back to the data processing system, which then dynamically adjusts the A-scan positioning in real-time to compensate for motion-induced distortion, resolving the contradiction between ease of operation and image quality

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes the parameter of A-scan axial positioning dynamically based on detected axial motion velocity, adjusting the shift amount according to the magnitude and direction of motion to maintain image quality during hand-held scanning

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If axial motion compensation is applied, then image quality is improved, but device complexity increases

Engineering Contradiction:
Improveimage qualityVSAvoiddevice complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical motion compensation mechanisms with a software-based approach using Doppler shift detection and digital signal processing, achieving image quality improvement without adding mechanical complexity to the system

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses the OCT signal itself to detect axial motion through Doppler shift and compensates for the distortion automatically without requiring external sensors or complex control mechanisms, reducing overall device complexity

Inventive Principle:
Principle #25Self-service

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

The system effectively corrects image distortion caused by axial motion, improving image quality and safety during manual scanning, particularly in sensitive medical procedures like retinal surgery.

Implementation Method 1

calculating an estimate of the net axial motion using Doppler shift

Methodology Applied
Scientific EffectDoppler shift: Doppler Effect

Implementation Method 2

an optical detection system arranged to receive combined light from the reference beam and the observation beam and to provide detection signals

Methodology Applied
Scientific EffectOptical interference: Interference

Data Source

PatentUS9207062B2Distortion corrected optical coherence tomography system
Publication Date: 2015.12.08 JOHNS HOPKINS UNIVERSITY
  • US9207062B2 patent drawing
  • US9207062B2 patent drawing
  • US9207062B2 patent drawing

AI summary

An axial motion distortion-corrected optical coherence tomography system. The system can include an optical coherence tomography sensor, a light source, a fiber-optic system arranged to provide a reference beam and an observation beam, an optical detection system arranged to receive combined light from the reference beam and the observation beam and to provide detection signals, and a data processing system arranged to receive said detection signals, construct a plurality of A-scans from said detection signals, and construct one or more images from said plurality of A-scans. The data processing system can be configured to correct distortion in the images caused by net axial motion of at least one of said optical coherence tomography sensor or a target of said optical coherence tomography sensor by calculating an estimate of the net axial motion using Doppler shift, and then shifting the A-scans according to the estimate.