一种使用图像处理技术估计视野数据变异性的新方法。
New approach to estimating variability in visual field data using an image processing technique.
作者信息
Crabb D P, Edgar D F, Fitzke F W, McNaught A I, Wynn H P
机构信息
School of Mathematics, Actuarial Science and Statistics, City University, London.
出版信息
Br J Ophthalmol. 1995 Mar;79(3):213-7. doi: 10.1136/bjo.79.3.213.
AIMS
A new framework for evaluating pointwise sensitivity variation in computerised visual field data is demonstrated.
METHODS
A measure of local spatial variability (LSV) is generated using an image processing technique. Fifty five eyes from a sample of normal and glaucomatous subjects, examined on the Humphrey field analyser (HFA), were used to illustrate the method.
RESULTS
Significant correlation between LSV and conventional estimates--namely, HFA pattern standard deviation and short term fluctuation, were found.
CONCLUSION
LSV is not dependent on normals' reference data or repeated threshold determinations, thus potentially reducing test time. Also, the illustrated pointwise maps of LSV could provide a method for identifying areas of fluctuation commonly found in early glaucomatous field loss.
目的
展示一种用于评估计算机视野数据逐点敏感性变化的新框架。
方法
使用图像处理技术生成局部空间变异性（LSV）的度量。从正常和青光眼受试者样本中选取55只眼睛，在 Humphrey 视野分析仪（HFA）上进行检查，以说明该方法。
结果
发现LSV与传统估计值（即HFA模式标准差和短期波动）之间存在显著相关性。
结论
LSV不依赖于正常参考数据或重复的阈值测定，从而有可能减少测试时间。此外，所示的LSV逐点图可为识别早期青光眼视野缺损中常见的波动区域提供一种方法。
Zotero 插件