Eye Tracking Latency Compensation for Laser Surgery
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Solution Overview
Problem
Current eye surgical laser systems face challenges in achieving high accuracy for targeting the cornea due to latency in image evaluation, which results in delayed determination of the target point's position and orientation, leading to inaccuracies in laser pulse delivery during eye treatments.
Innovation Solution
A method that captures eye images at multiple points in time to determine movement information and predict the future position and orientation of the target point, accounting for the latency in image evaluation, allowing for precise adjustment of the laser pulse delivery based on predicted target point positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous eye tracking is performed to maintain high target accuracy, then the precision of laser pulse delivery is improved, but the latency in image evaluation causes the target position to become outdated by the time processing is complete
Solution Approach 1:
The patent applies preliminary action by capturing multiple eye images in advance at different time points and storing them for later retrieval. When a laser pulse is to be delivered, the system retrieves the most appropriate pre-captured image that closely matches the current eye position, rather than processing a single current image that has already become outdated by the time evaluation completes. This allows the system to use information that is temporally closer to the actual moment of treatment.
Solution Approach 2:
The patent implements dynamics by continuously capturing and storing multiple eye images at different time points, creating a dynamic temporal database of eye positions. The system adapts by selecting the most relevant historical image based on the current treatment moment, effectively making the static image evaluation process dynamic and responsive to real-time changes in eye position.
2Measurement precision
If multiple pictures are captured and processed to determine future target position, then the prediction accuracy is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-capturing and storing multiple eye images at different time points before treatment begins. This preparation work is done in advance, so when treatment occurs, the system only needs to retrieve and compare pre-processed images rather than performing complex real-time analysis of multiple simultaneous image streams, thereby reducing computational complexity during the critical treatment phase.
Data Source
AI summary
A method is disclosed for determining a position of a target point of a human or animal eye during a medical treatment of the eye to allow an improved target accuracy for triggering a laser pulse to a respective target point. The method includes capturing a respective picture of the eye at a first point of time and a later second point of time, determining movement information with respect to a movement of the eye and/or of the target point based on the respective pictures and determining prediction data. The prediction data including a prediction for a future position and/or orientation of the target point at a later point of time, based on the movement information, wherein the later point of time is temporally spaced from the second point of time by a period of time, the duration of which is derived from a latency of an image evaluation.