IEEE J Biomed Health Inform. 2021 Jul;25(7):2787-2800. doi: 10.1109/JBHI.2021.3057437. Epub 2021 Jul 27.
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, FT, SWeLZ, 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 using in other psychophysical tests.
临床视野测试是使用商业周边设备进行的，并采用心理物理学技术在多个视网膜位置获得差异光灵敏度 (DLS) 的阈值。目前的阈值算法效率相对较低，很难同时满足测试准确性和稳定性的要求。因此，我们提出了一种新的贝叶斯周边阈值方法，称为 Trail-Traced Threshold Test (T4)，它可以更好地解决初始阈值估计的依赖性，并在测试准确性和可变性方面取得显著提高，同时与 Zippy Estimation by Sequential Testing (ZEST) 和 FT 相比，减少呈现次数。本研究比较了 T4 与 ZEST 和 FT 在呈现次数、真实视野结果与模拟结果之间的平均绝对差异 (MAD) 和测量变异性方面的差异。T4 使用完整的响应序列和空间加权邻居响应来实现比 ZEST、FT、SWeLZ 更高的准确性和精度，同时呈现的刺激次数明显减少。与其他方法相比，T4 对初始阈值估计的不准确性也更具鲁棒性，这在主观方法（如临床视野检查）中是一个优势。该方法还有可能用于其他心理物理测试。
