Ophthalmological Laser Control Data for Corneal Treatment
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Solution Overview
Problem
Current ophthalmological laser treatment apparatuses lack an efficient method for determining optimized diameters for optical zones, which are crucial for effective corneal treatments, as existing methods rely on empirical values and do not account for individual eye parameters.
Innovation Solution
A method where a control device automatically determines optimized diameters for optical zones based on predetermined eye parameters, using examination data to select the appropriate diameter for the treatment, which can be manually or wirelessly inputted, and provides control data for the treatment apparatus to ensure precise corneal treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If empirical values are used to set the diameter of the optical zone, then the setup process is simple, but the treatment optimization is insufficient
Solution Approach 1:
The system automatically adjusts the diameter parameter of the optical zone based on multiple eye parameters (pupil diameter, corneal curvature, axial length, etc.) rather than using fixed empirical values. This dynamic parameter adjustment resolves the contradiction by optimizing treatment precision through data-driven parameter selection while maintaining ease of operation through automated calculation.
Solution Approach 2:
The treatment apparatus performs self-optimization by automatically calculating the optimal optical zone diameter based on the patient's examination data without requiring manual intervention or expert judgment. The system serves itself by integrating the calculation functionality, thus maintaining operational simplicity while achieving treatment optimization.
2Manufacturing precision
If multiple factors are considered for optimized diameter selection, then treatment precision improves, but planning complexity increases
Solution Approach 1:
The system merges multiple consideration factors (pupil diameter, corneal curvature, axial length, visual acuity requirements, etc.) into a single integrated calculation module. This consolidation allows the system to process multiple parameters simultaneously through unified algorithms, achieving optimized diameter selection without increasing planning complexity for the user.
Solution Approach 2:
The system replaces manual planning processes with automated computational algorithms. Instead of requiring practitioners to manually consider and balance multiple factors, the system uses computer-based calculations to automatically determine the optimal diameter, thus improving precision while reducing planning complexity.
3Manufacturing precision
If automated diameter calculation is implemented, then treatment optimization improves, but device complexity increases
Solution Approach 1:
The control device integrates multiple functions into a single system: it stores examination data, performs automated diameter calculations, and controls the treatment apparatus. This multi-functionality allows the system to achieve accurate automated diameter determination without requiring separate dedicated devices, thus improving precision while managing system complexity through functional integration.
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 simplifies the planning process for corneal treatments by providing optimized diameters, improving treatment results and reducing user calculation burden, while ensuring the diameters are tailored to specific eye conditions, including varying pupil sizes and correction types.
Implementation Method 1
laser pulses effect a photodisruption and/or ablation in a focus area situated within the organic tissue, to remove a tissue, in particular a tissue lenticule, from the cornea
Implementation Method 2
laser pulses effect a photodisruption and/or ablation in a focus area situated within the organic tissue
Data Source
AI summary
The invention relates to a method for providing control data for an ophthalmological laser (12) of a treatment apparatus (10) for treating a cornea (16) of an eye. Hereto, a control device (18) of the treatment apparatus (10) may ascertain (S10) eye parameters from predetermined examination data; determine (S12) a respective diameter for respective optical zones (OZ) depending on the ascertained eye parameters, wherein a diameter for treating the cornea (16) is selected from the ascertained diameters of the optical zones (OZ); and provide (S14) control data, which includes the selected diameter of the optical zone (OZ).