Perimetric Method Using Segmented Nerve Fibre Regions
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Solution Overview
Problem
Current perimetric methods require a large number of stimuli to accurately measure the visual field of an eye, leading to prolonged examination times and potential distortion due to neurological retinal fatigue, while also being inefficient in reducing measurement errors.
Innovation Solution
A perimetric method that uses a limited number of predefined points located in anatomically independent nerve fibre regions, with a statistical relationship between these points to derive the visual field, allowing for accurate results with fewer stimuli by calculating threshold values and stimulus intensities based on correlated measurement results stored in a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of stimuli are used to measure the visual field, then measurement accuracy is improved, but examination time increases and retinal fatigue distorts results
Solution Approach 1:
The visual field is divided into multiple independent nerve fibre regions, with representative measurement points selected from each region. This segmentation allows the visual field to be characterized through sampling key regions rather than measuring all points, reducing the number of stimuli needed while maintaining measurement accuracy.
Solution Approach 2:
A database of normal visual field values is pre-established before patient examination. During measurement, patient results are compared against this pre-existing database to quickly identify deviations indicating pathology, eliminating the need to measure every possible point and reducing examination time.
2Measurement precision
If a large number of stimuli are used to measure the visual field, then measurement accuracy is improved, but retinal fatigue increases causing result distortion
Solution Approach 1:
The visual field measurement is segmented into representative points across different nerve fibre regions. By measuring only these representative points rather than all possible points, the total number of stimuli is reduced, thereby minimizing retinal fatigue while still achieving accurate measurement of the overall visual field.
Solution Approach 2:
The method uses a database of pre-collected normal visual field data from multiple subjects. This pre-existing information serves as a reference that eliminates the need for exhaustive measurement, reducing the number of stimuli required and minimizing retinal fatigue effects.
3Productivity
If fewer stimuli are used to reduce examination time, then retinal fatigue is minimized, but measurement accuracy decreases
Solution Approach 1:
The visual field is segmented into distinct nerve fibre regions with representative measurement points selected from each. This strategic segmentation ensures that measuring a limited number of points still captures the overall visual field characteristics, maintaining accuracy while improving efficiency.
Solution Approach 2:
The method incorporates comparison with a pre-established database of normal visual field values. This feedback mechanism allows rapid identification of abnormal results from limited measurements, maintaining diagnostic accuracy while reducing the number of stimuli needed.
4Productivity
If measurement points are selected without considering nerve fibre region independence, then the number of points can be reduced, but anatomical relationships are lost reducing measurement validity
Solution Approach 1:
The visual field is segmented according to anatomically independent nerve fibre regions, with one or more representative measurement points selected from each region. This anatomical segmentation ensures that measurements capture the functional characteristics of distinct neural pathways, maintaining measurement validity while limiting the total number of points to improve efficiency.
Data Source
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AI summary
The invention relates to a perimetric method for measuring a visual field of an eye, carried out with an ophthalmological device, particularly a perimeter or similar, and means for data processing with a data base, wherein the data base includes data sets of visual fields, wherein a retina of the eye is divided into points (21) that represent the visual field, wherein the points of the retina are exposed to optical stimuli of a defined intensity, wherein a reaction to a stimulus is calculated as a measurement result, wherein at least two predefined points (P12, P16, P38, P52, P55, P65) are measured, wherein the predefined points each lie in anatomically independent nerve fibre regions (11, 12, 13, 14,15, 16) and are in a statistically significant relation to each other, wherein a visual field of the eye is derived from the measurement results and the data sets.