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Summary Visual Fields 3 - Key Techniques and Algorithms £3.49
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  3. Aston University, Birmingham (Aston)
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  5. Optometry (PEG)

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Summary Visual Fields 3 - Key Techniques and Algorithms
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Themes: • Advanced threshold algorithms for automated perimetry. • Factors affecting measurement accuracy (patient setup, fatigue, learning). • Clinical decision-making in choosing algorithms and referral urgency.

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  • January 15, 2025
  • 3
  • 2024/2025
  • Summary

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Visual Fields 3: Key Techniques and Algorithms
1. Full Threshold Perimetry
● Definition: Thresholds are determined at all stimulus locations using a 4-2 dB
staircase procedure.
● Advantages:
○ More sensitive than suprathreshold perimetry.
○ Enables statistical analysis by comparing data to normal visual field
databases.
○ Helps monitor disease progression (e.g., glaucoma).
○ Provides information on the reliability of test data.




2. New Generation Algorithms
a) Swedish Interactive Threshold Algorithm (SITA)

● Developed for: Humphrey Field Analyser.
● Method: Uses Bayesian probability and maximum likelihood to predict
thresholds.
● Relies on:
○ Frequency-of-seeing curves.
○ Relationships between adjacent test locations.
○ Age-related data.
○ Knowledge of glaucoma progression.

Types of SITA:

1. SITA Standard:
○ Replaces Full Threshold algorithm.
○ Duration: ~7 min per eye.
○ As accurate as Full Threshold but faster.
2. SITA Fast:
○ Replaces FASTPAC algorithm.
○ Duration: ~4 min per eye.
○ Faster but allows a wider error margin in threshold estimates.
● Adaptive: Adjusts to patient’s response time and continuously monitors false
positives.



b) Henson: ZATA Algorithm

● Zippy Adaptive Threshold Algorithm.
● Features:
○ Uses previous visual field results to set starting intensities.
○ Targets locations where visual field changes are likely (between normal and
10 dB).
○ Focuses on accuracy in key regions.

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