Refractive Surgery Treatment Table Validation via Simulation
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Solution Overview
Problem
Current refractive surgical procedures face challenges in accurately generating and validating treatment tables for laser eye surgery, which are crucial for ensuring safety and effectiveness, as existing methods may not adequately account for variations in patient-specific optical refractions and surface inclinations.
Innovation Solution
The development of a system and method that compares intended optical refractions with expected refractions derived from treatment tables, using polynomial terms to ensure accuracy and safety by qualifying treatment tables only if the difference falls within a predefined tolerance, thereby enhancing ablation control and process verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment tables are generated based on wavefront analysis or other measurement procedures, then refractive surgery can be performed to correct vision conditions, but the accuracy and safety of the procedure cannot be sufficiently verified due to inadequate validation methods
Solution Approach 1:
The patent applies preliminary action by performing a simulation of the laser ablation process before the actual surgery. The treatment table is validated by comparing the intended refraction with the expected refraction calculated from the simulated ablation profile. This preliminary simulation and validation step ensures that the treatment table is accurate and safe before the real surgical procedure is performed.
2Manufacturing precision
If treatment tables include laser pulse instructions for corneal ablation, then vision correction can be achieved, but deviations from intended refraction may occur due to surface inclination effects and other variables
Solution Approach 1:
The patent implements feedback by calculating the expected refraction from the simulated ablation profile and comparing it with the intended refraction. If the difference exceeds a predefined tolerance threshold, the treatment table is rejected. This feedback mechanism allows the system to detect and correct potential deviations caused by surface inclination effects and other variables before surgery occurs.
3Reliability
If treatment tables are validated by comparing intended and expected refractions, then safety is improved, but additional validation steps and computational resources are required
Solution Approach 1:
The patent uses copying by creating a virtual simulation model of the laser ablation process. Instead of physically testing every possible treatment scenario, the system creates a computational copy that simulates the ablation outcome. This virtual model allows for thorough validation of treatment tables without requiring complex physical testing equipment or procedures.
Data Source
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AI summary
Treatment table verification techniques involve comparing intended refraction information with expected optical refraction information, and validating or qualifying the treatment table based on such comparisons. Systems and methods for verifying treatment tables provide enhanced safety for laser vision correction treatments.