Intraocular Lens Injection Controller with Real-Time Image Feedback
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Solution Overview
Problem
Existing intraocular lens (IOL) injection systems often deform IOLs inappropriately, leading to potential damage during injection, increased operator time, and risk of tissue damage in the eye, with pushing forces causing harm to the posterior capsule or other eye tissues.
Innovation Solution
An intraocular lens injection system comprising a push-out member with a drive part, an observation member to obtain images of the IOL, and a determination member to adjust drive parameters based on observed images, ensuring appropriate IOL injection and minimizing tissue damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the IOL injection device pushes the IOL with sufficient force to ensure injection, then the injection efficiency is improved, but the IOL may be damaged or cause damage to the patient's eye tissues
Solution Approach 1:
The system uses an observation member (camera) to capture images of the IOL during the injection process, and a determination member (processor) analyzes these images to detect the shape and position of the IOL in real-time. Based on this feedback, the control member dynamically adjusts the pushing force of the drive part, ensuring the IOL is injected efficiently while preventing damage to the IOL or eye tissues through continuous monitoring and adaptive control.
2Productivity
If the IOL is deformed by the injection device, then the injection process can be completed, but the IOL may be deformed inappropriately causing damage or requiring long setting time
Solution Approach 1:
The observation member captures images of the IOL shape during deformation, and the determination member analyzes these images to detect whether the IOL is deformed appropriately. This feedback loop allows the control member to adjust the deformation process in real-time, ensuring the IOL achieves the necessary shape for injection without inappropriate deformation that would cause damage or require extended setting time.
Solution Approach 2:
The system replaces purely mechanical control with a closed-loop control system that incorporates optical detection and computational analysis. The processor analyzes images of the IOL shape and provides feedback to adjust the mechanical driving forces, substituting blind mechanical deformation with an intelligent control system that monitors and optimizes the deformation process.
3Speed
If the pushing force is increased to ensure IOL injection, then the injection speed is improved, but the posterior capsule or other eye tissues may be damaged
Solution Approach 1:
The system continuously monitors the IOL position and surrounding tissue conditions through the observation member during injection. The determination member analyzes these images to detect any signs of tissue damage or abnormal resistance, and the control member adjusts the pushing force in real-time. This allows high injection speed to be maintained while preventing damage to the posterior capsule or other eye tissues through continuous feedback-based force modulation.
Data Source
AI summary
An intraocular lens injection system, a controller to control an intraocular lens injection device, a method for controlling an intraocular lens injection instrument, and a program therefor for preferably injecting an intraocular lens are provided. A push-out member including a drive part to push out a soft intraocular lens by the drive part, an observation member to obtain an observed image of the intraocular lens pushed out by the push-out member, and a determination member to determine a drive parameter of the drive part based on the observed image are provided. The intraocular lens includes an optical part and a support part to support the optical part in a patient's eye, and the determination member determines the drive parameter according to at least a shape of the support part.