Integration and fusion of standard automated perimetry and optical coherence tomography data for improved automated glaucoma diagnostics.
Integration and fusion of standard automated perimetry and optical coherence tomography data for improved automated glaucoma diagnostics.
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DOI：
10.1186/1471-2415-11-20
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发表时间：
2011-08-04
影响因子：
2
通讯作者：
Bengtsson B
中科院分区：
文献类型：
--
作者：
Bizios D;Heijl A;Bengtsson B
青光眼诊断系统的性能可以通过整合功能和结构测试测量来改善，这些测试测量提供了用于达到诊断的相关和补充信息。本研究的目的是调查的性能的数据融合方法和技术的简单组合的标准自动视野检查（SAP）和光学相干断层扫描（OCT）的数据，青光眼的诊断使用人工神经网络（ANN）。Humphrey 24-2 SITA标准SAP和StratusOCT测试前瞻性地从随机选择的125名健康人和135名患有青光眼视神经乳头的患者中收集，并用作ANN的输入。我们测试了市售标准参数以及新参数（融合OCT和SAP数据），这些参数利用了OCT视乳头周围扫描圈的视野区域和扇区之间的空间关系。我们分别和联合评价了这些SAP和OCT衍生参数的性能。SAP和OCT融合数据组合的诊断准确性（95.39%）高于任一仪器的最佳常规参数，即SAP青光眼半视野测试（p < 0.001）和OCT视网膜神经纤维层厚度≥ 1象限（p = 0.031）。融合OCT和组合融合OCT和SAP数据提供了相似的0.978的受试者工作特征曲线（AROC）值，与单独使用SAP参数的ANN（AROC = 0.945）相比，AROC值显著更大（p = 0.047）。另一方面，基于OCT参数（AROC = 0.970）的ANN的表现并不明显差于基于融合或组合形式的输入数据的ANN。融合输入的使用增加了由基于SAP和OCT的ANN正确分类的测试的数量。与使用SAP参数相比，来自融合OCT和SAP参数的组合以及来自融合OCT数据的输入显著提高了ANN的性能。通过数据融合包括先验相关信息来集成参数，与当前可用的方法相比，可以提高ANN分类准确度。
The performance of glaucoma diagnostic systems could be conceivably improved by the integration of functional and structural test measurements that provide relevant and complementary information for reaching a diagnosis. The purpose of this study was to investigate the performance of data fusion methods and techniques for simple combination of Standard Automated Perimetry (SAP) and Optical Coherence Tomography (OCT) data for the diagnosis of glaucoma using Artificial Neural Networks (ANNs). Humphrey 24-2 SITA standard SAP and StratusOCT tests were prospectively collected from a randomly selected population of 125 healthy persons and 135 patients with glaucomatous optic nerve heads and used as input for the ANNs. We tested commercially available standard parameters as well as novel ones (fused OCT and SAP data) that exploit the spatial relationship between visual field areas and sectors of the OCT peripapillary scan circle. We evaluated the performance of these SAP and OCT derived parameters both separately and in combination. The diagnostic accuracy from a combination of fused SAP and OCT data (95.39%) was higher than that of the best conventional parameters of either instrument, i.e. SAP Glaucoma Hemifield Test (p < 0.001) and OCT Retinal Nerve Fiber Layer Thickness ≥ 1 quadrant (p = 0.031). Fused OCT and combined fused OCT and SAP data provided similar Area under the Receiver Operating Characteristic Curve (AROC) values of 0.978 that were significantly larger (p = 0.047) compared to ANNs using SAP parameters alone (AROC = 0.945). On the other hand, ANNs based on the OCT parameters (AROC = 0.970) did not perform significantly worse than the ANNs based on the fused or combined forms of input data. The use of fused input increased the number of tests that were correctly classified by both SAP and OCT based ANNs. Compared to the use of SAP parameters, input from the combination of fused OCT and SAP parameters, and from fused OCT data, significantly increased the performance of ANNs. Integrating parameters by including a priori relevant information through data fusion may improve ANN classification accuracy compared to currently available methods.
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影响因子：
4.6
作者：
Chan, KL;Lee, TW;Sejnowski, ATJ
通讯作者：
Sejnowski, ATJ
影响因子：
4.4
作者：
Bowd, Christopher;Hao, Jiucang;Goldbaum, Michael H.
通讯作者：
Goldbaum, Michael H.
影响因子：
--
作者：
ASMAN, P;HEIJL, A
通讯作者：
HEIJL, A
影响因子：
4.4
作者：
Bengtsson, B;Bizios, D;Heijl, A
通讯作者：
Heijl, A
影响因子：
4.4
作者：
Ajtony, Csilla;Balla, Zsolt;Kovacs, Balint
通讯作者：
Kovacs, Balint