OCT Image Rectification via Corneal Geometry Reference
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Solution Overview
Problem
Intra-surgical OCT reconstruction of the human eye is affected by varying optical properties, leading to distortions in OCT scanning data due to factors like refractive index changes, corneal curvature, and surgical instruments.
Innovation Solution
A system that uses a reference object with known geometry data arranged in the patient's eye, employing an image rectification algorithm to correct distortions in OCT scanning data by generating an undistorted view of the reference object and applying a rectification mapping to the entire OCT scanning data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OCT scanning data is captured during surgical intervention, then real-time visualization of the patient's eye is achieved, but distortions arise due to varying optical properties (refractive index, corneal curvature, surgical instruments)
Solution Approach 1:
The system performs preliminary scanning of the corneal surface to reconstruct the corneal profile before processing the OCT scanning data. This pre-acquired geometric information about the corneal surface is used to correct the optical path length calculations, thereby compensating for the distortions caused by the cornea's optical properties before they affect the final scattering center location accuracy.
Solution Approach 2:
The patent introduces an intermediate computational step that uses the reconstructed corneal surface profile as a mediator between the raw OCT scanning data and the final scattering center positions. By calculating the optical path length through the reconstructed corneal geometry, the system acts as an intermediary that transforms the distorted measurements into accurate spatial information, separating the measurement process from the distortion effects.
2Measurement precision
If refraction and wavelength changes are not taken into account, then processing complexity is reduced, but the relative spatial position of scattering centers becomes distorted
Solution Approach 1:
The system extracts the corneal surface geometry as a separate, independently reconstructed model from the OCT scanning data. By isolating the corneal profile reconstruction as a distinct preliminary step, the complex refraction and wavelength correction calculations are separated from the main scattering center localization process. This extraction allows the corneal model to be used as a pre-computed reference for correcting multiple subsequent measurements without repeating the full complex calculation each time.
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 rectifies OCT scanning data, improving the accuracy of image reconstruction and enabling precise visualization of the patient's eye section during surgical interventions.
Implementation Method 1
an OCT scanning beam is generally refracted when the latter transitions from one medium into another medium, with the wavelength of the OCT scanning light also being modified
Data Source
AI summary
Provided is to a system with an interface for providing visualization data for visualizing at least one section of a patient's eye, comprising an OCT device for capturing OCT scanning data by scanning the section of the patient's eye by means of an OCT scanning beam and comprising a computer unit for processing the OCT scanning data into the visualization data within the scope of an image rectification algorithm, which is designed to output the visualization data at the interface. The computer unit contains a view generation algorithm for calculating image data in relation to a view of a reference object arranged in the section of the patient's eye from geometry data about the reference object fed to the view generation algorithm and from the OCT scanning data obtained in relation to the reference object, wherein the computer unit has an algorithm control routine which specifies the image rectification algorithm and determines the image rectification algorithm from the image data of the view of the reference object calculated in the view generation algorithm and from OCT scanning data obtained in relation to the reference object by scanning the section of the patient's eye.