Digital Tissue Model for Predicting Tear Lines in Ophthalmic Surgery
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Solution Overview
Problem
Current ophthalmic surgical methods, particularly mechanical tearing tools, face challenges in accurately determining the destructive tear in the anterior capsular bag wall during cataract surgery, leading to potential complications such as improper intraocular lens implantation and increased surgical complexity.
Innovation Solution
A computer-implemented method and system that simulate the tearing action on a digital tissue model of the eye to predict the potential tear line, taking into account the specific properties and geometry of the individual eye, thereby improving the accuracy and safety of the surgical procedure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mechanical tearing tools are used to create an opening in the anterior capsular bag wall, then the procedure is faster and more cost-effective, but the precision and accuracy of the tear line are reduced
Solution Approach 1:
The patent performs preliminary simulation of the tearing action on a digital tissue model before the actual surgical procedure. This preliminary action allows prediction of the tear line trajectory and identification of potential complications in advance, enabling the surgeon to adjust the surgical plan accordingly while maintaining the efficiency benefits of mechanical tearing tools
Solution Approach 2:
The patent creates a digital copy (virtual model) of the patient's specific tissue geometry and mechanical properties. This digital twin allows virtual testing of different tearing scenarios without risking the actual tissue, thereby predicting the actual tear line with high precision while using fast mechanical tools in the real procedure
2Ease of manufacture
If mechanical tearing tools are used, then costs are reduced and procedure time is decreased, but the reliability of the surgical outcome is compromised
Solution Approach 1:
The simulation is performed in advance to predict potential complications such as uncontrolled tear propagation or damage to surrounding structures. This preliminary risk assessment allows for preventive planning, maintaining high reliability outcomes while using cost-effective mechanical tools during the actual surgery
Solution Approach 2:
The simulation provides feedback on the expected tear line trajectory and potential complications based on the patient's specific tissue properties. This feedback loop allows optimization of the surgical approach before implementation, ensuring reliable outcomes with mechanical tools
3Measurement precision
If automated simulation is implemented to predict tear lines, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses a digital copy of the tissue structure to perform complex simulations that would be impossible to perform mentally or with simple tools. This virtual model captures the essential geometry and mechanical properties needed for accurate prediction without requiring complex physical apparatus during surgery
Solution Approach 2:
The patent replaces complex physical measurement and prediction methods with computational simulation. Instead of relying on surgeon experience and manual assessment, the system uses automated computer-based simulation to predict tear lines, achieving high precision while keeping the actual surgical tools simple and familiar
Data Source
AI summary
A method for determining a destructive tear in real tissue of a real eye by simulation includes providing an evaluation unit with at least one item of information characterizing the real tissue of the eye. Using the evaluation unit, the method includes using the information to create an at least two-dimensional digital tissue model of the eye tissue. The method includes simulating a tearing action on the tissue using a simulated surgical instrument and/or a simulated point where the instrument acts on the tissue, particularly for actions that could potentially cause tearing during a real ophthalmic surgical procedure. The evaluation unit is then provided with information regarding the reaction of the tissue model to the simulated action. Using the evaluation unit, the method includes using the reaction information and the simulated tearing action to determine a potential tear line in the real tissue.