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Trail-Traced Threshold Test (T4) with a Weighted Binomial Distribution for a Psychophysical Test

Gong, Y; Zhu, H; Miranda, M; Crabb, D; Yang, H; Bi, W; Garway-Heath, D; (2021) Trail-Traced Threshold Test (T4) with a Weighted Binomial Distribution for a Psychophysical Test. IEEE Journal of Biomedical and Health Informatics 10.1109/JBHI.2021.3057437. (In press). Green open access

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Abstract

Clinical visual field testing is performed with commercial perimetric devices and employs psychophysical techniques to obtain thresholds of the differential light sensitivity (DLS) at multiple retinal locations. Current thresholding algorithms are relatively inefficient and tough to get satisfied test accuracy, stability concurrently. Thus, we propose a novel Bayesian perimetric threshold method called the Trail-Traced Threshold Test (T4), which can better address the dependence of the initial threshold estimation and achieve significant improvement in the test accuracy and variability while also decreasing the number of presentations compared with Zippy Estimation by Sequential Testing (ZEST) and FT. This study compares T4 with ZEST and FT regarding presentation number, mean absolute difference (MAD between the real Visual field result and the simulate result), and measurement variability. T4 uses the complete response sequence with the spatially weighted neighbor responses to achieve better accuracy and precision than ZEST and FT and with significantly fewer stimulus presentations. T4 is also more robust to inaccurate initial threshold estimation than other methods, which is an advantage in subjective methods, such as in clinical perimetry. This method also has the potential for use in other psychophysical tests.

Type: Article
Title: Trail-Traced Threshold Test (T4) with a Weighted Binomial Distribution for a Psychophysical Test
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JBHI.2021.3057437
Publisher version: http://dx.doi.org/10.1109/JBHI.2021.3057437
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Bayesian, perimetric threshold test, spatial weight, standard automated perimetry, visual field
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
URI: https://discovery.ucl.ac.uk/id/eprint/10123736
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