Ophthalmological Laser Control Data Aberration Compensation
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Solution Overview
Problem
Ophthalmological laser treatments for correcting corneal disorders often induce new aberrations, which are difficult to predict and can cause disturbing side effects.
Innovation Solution
A method that determines initial correction parameters based on eye parameters, retrieves treatment result data from a database to identify potential aberrations, and adapts these parameters to compensate for expected aberrations, thereby minimizing their occurrence during the treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If initial correction parameters are used for treating the cornea, then the treatment can be performed efficiently based on eye parameters, but newly induced aberrations occur that were not present before treatment
Solution Approach 1:
The control device performs preliminary analysis by retrieving treatment result data from a database before executing the treatment. It identifies potential aberrations from previous comparable treatments and pre-calculates compensatory adjustments to the correction parameters, so that the compensation is already in place when the treatment is applied to the patient's cornea.
Solution Approach 2:
The system uses feedback from a database containing treatment results from preceding corneal treatments. By analyzing this historical data, the control device receives feedback on which aberrations typically arise from specific treatment parameters, and uses this feedback to adapt and optimize the correction parameters for the current treatment.
2Reliability
If correction parameters are adapted based on database statistics, then newly induced aberrations can be compensated for, but the complexity of the treatment planning process increases
Solution Approach 1:
The control device creates a digital copy of historical treatment data from the database and uses this copied information to simulate and predict aberrations. By working with copied data rather than directly modifying treatment protocols, the system can perform multiple analyses and comparisons without affecting the original treatment plans, simplifying the overall process.
Solution Approach 2:
The system automatically adjusts treatment parameters by applying mathematical transformations to the correction parameters based on statistical analysis of the database. The control device modifies parameters such as ablation depth, laser pulse energy, or treatment zone distribution to compensate for predicted aberrations, using automated parameter optimization algorithms.
3Measurement precision
If treatment result data from preceding treatments is analyzed, then aberrations can be identified and compensated for in individual treatment, but additional data processing time is required
Solution Approach 1:
The control device extracts only the relevant aberration data from the comprehensive treatment result database, focusing specifically on higher-order aberrations and their correlation with treatment parameters. By extracting only the essential information needed for compensation rather than analyzing all database contents, the system reduces processing time while maintaining detection accuracy.
Solution Approach 2:
The system performs partial analysis by focusing on the most significant aberration types and their primary causes from the database, rather than conducting a complete analysis of all possible treatment outcomes. This selective approach processes only the critical data needed for effective compensation, reducing overall processing time while maintaining sufficient precision.
Data Source
AI summary
Method for providing control data for an ophthalmological laser (12) of a treatment apparatus (10) for treating a cornea (16) of a human and/or animal eye. As steps, the method performed by a control device (18) comprises determining (S10) eye parameters from predetermined examination data; determining (S12) initial correction parameters for treating the cornea (16) depending on the eye parameters; determining (S14) treatment result data by a database (24), which includes predetermined treatment results of preceding corneal treatments, wherein the treatment result data is retrieved from treatments with comparable eye parameters and initial correction parameters; determining (S16) by the retrieved treatment result data if aberrations have been generated by the treatment in these corneal treatments; adapting (S18) the initial correction parameters for treating the cornea (16) depending on the aberrations ascertained from the treatment result data; and providing (S20) the control data, which includes the adapted correction parameters.