SORS Visual Field Mapping Reduces Test Time
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Solution Overview
Problem
Standard Automated Perimetry methods are inefficient in obtaining accurate visual field maps due to high test time and noise in responses, with existing strategies failing to achieve a balance between speed and accuracy.
Innovation Solution
The Sequentially Optimized Reconstruction Strategy (SORS) method, which determines the optimal order and locations for testing by leveraging correlations between visual field locations, uses a meta-strategy that combines traditional staircase methods or Bayesian strategies to estimate perceived sensitivity thresholds more efficiently, reducing the number of necessary measurements and improving accuracy-speed trade-off.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all brightness levels at all locations are tested multiple times to average out response noise, then measurement precision is improved, but loss of time increases significantly (more than 15 minutes per eye)
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal test sequences and stimulus parameters before the actual perimetry examination. The system prepares optimized testing protocols in advance, which are then executed during the clinical test, thereby reducing the time required during the actual patient examination while maintaining measurement accuracy.
Solution Approach 2:
The patent implements partial action by selectively testing only certain locations and brightness levels based on pre-computed optimization, rather than testing all possible combinations. The system determines the minimum necessary set of measurements required to achieve accurate visual field maps, reducing overall test time while maintaining precision through intelligent selection of test points.
2Productivity
If testing is performed quickly with fewer stimulus presentations, then loss of time is reduced, but measurement precision deteriorates due to response noise and fatigue effects
Solution Approach 1:
The system performs preliminary optimization calculations to determine the most efficient test sequence and stimulus parameters before the actual examination. This pre-computation allows the system to execute rapid testing with fewer stimulus presentations while maintaining accuracy, as the optimal testing strategy has already been determined in advance.
Solution Approach 2:
The patent applies dynamics by adaptively adjusting the testing strategy during the examination based on real-time patient responses. The system dynamically modifies subsequent test parameters and sequences based on accumulated data, allowing it to maintain high accuracy even with reduced numbers of presentations by concentrating measurements on the most informative test points.
3Ease of operation
If traditional staircase methods or Bayesian strategies are used, then ease of operation is maintained, but productivity remains insufficient due to inability to leverage spatial correlations between visual field locations
Solution Approach 1:
The patent merges traditional staircase/Bayesian methods with spatial correlation analysis and pre-computed optimization. It combines the simplicity and reliability of conventional approaches with the efficiency gains from leveraging spatial relationships between visual field locations, achieving both ease of operation and improved productivity through this hybrid methodology.
Solution Approach 2:
The system performs preliminary computation of optimal test sequences that incorporate spatial correlations between visual field locations. This pre-processing step enables the system to efficiently exploit spatial relationships during the actual test, improving productivity while maintaining the operational simplicity of the underlying staircase or Bayesian frameworks.
Data Source
AI summary
The invention relates to a method for obtaining a visual field map of an observer, particularly a perimetry method, wherein a plurality of test locations in front of the observer is provided, at each test location of a subset of said plurality a respective perceived sensitivity threshold is measured, wherein at least one light signal is provided at the respective test location, and wherein it is monitored whether said observer observes said at least one light signal, and wherein for each test location a respective estimate of the perceived sensitivity threshold is derived from the previously measured perceived sensitivity thresholds of said subset, and wherein said light signal is provided at a light intensity value derived from the estimate of the perceived sensitivity threshold of said respective test location.