Automated Retinal Layer Segmentation Using Spectral Domain Optical Coherence Tomography: Evaluation of Inter-Session Repeatability and Agreement between Devices.
Automated Retinal Layer Segmentation Using Spectral Domain Optical Coherence Tomography: Evaluation of Inter-Session Repeatability and Agreement between Devices.
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DOI：
10.1371/journal.pone.0162001
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Wood A
中科院分区：
文献类型：
--
作者：
Terry L;Cassels N;Lu K;Acton JH;Margrain TH;North RV;Fergusson J;White N;Wood A
视网膜和视网膜内层厚度通常是根据光学相干断层扫描 (OCT) 图像生成的，但机载软件功能和图像缩放假设在不同设备之间并不一致。本研究评估了独立于设备的爱荷华参考算法（爱荷华生物医学成像研究所），用于三个 OCT 系统的自动视网膜内层分割和图像缩放。健康参与者 (n = 25) 使用 Cirrus HD-OCT (Zeiss)、3D-OCT 1000 (Topcon) 和非商业长波长 (1040nm) OCT 两次进行黄斑容积扫描。使用爱荷华参考算法在三个 ETDRS 子区域（中央凹、内环和外环）中测量 10 个视网膜内层的平均厚度。在可用的情况下，使用机载软件测量总视网膜厚度。整个过程中都使用测量眼轴长度 (AEL) 相关的缩放，并与系统特定的固定 AEL 缩放进行比较。评估了 OCT 系统和分割方法之间的会话间重复性和一致性。对于蔡司、Topcon 和长波长图像，黄斑中心凹子场视网膜总厚度的会话间重复性系数 (CoR) 分别为 3.43μm、4.76μm 和 5.98μm。对于商业软件，CoR 为 4.63μm (Zeiss) 和 7.63μm (Topcon)。爱荷华参考算法表现出比机载软件更高的可重复性，此外，还可靠地分割了所有 10 个视网膜内层。通过固定 AEL 缩放，该算法为三个 OCT 设备产生了显着不同的厚度值 (P<0.05)，这些差异通常以整体偏移（偏差）以及与中心凹子区域和外环的眼轴长度的相关性为特征 (P<0.05)。当使用 AEL 依赖性缩放时，这种相关性在所有情况下都降低到了微不足道的水平。总体而言，爱荷华州参考算法对于使用这些设备成像的健康眼睛的临床和研究用途是可行的，但是需要眼部生物测量来准确量化 OCT 图像。
Retinal and intra-retinal layer thicknesses are routinely generated from optical coherence tomography (OCT) images, but on-board software capabilities and image scaling assumptions are not consistent across devices. This study evaluates the device-independent Iowa Reference Algorithms (Iowa Institute for Biomedical Imaging) for automated intra-retinal layer segmentation and image scaling for three OCT systems. Healthy participants (n = 25) underwent macular volume scans using a Cirrus HD-OCT (Zeiss), 3D-OCT 1000 (Topcon), and a non-commercial long-wavelength (1040nm) OCT on two occasions. Mean thickness of 10 intra-retinal layers was measured in three ETDRS subfields (fovea, inner ring and outer ring) using the Iowa Reference Algorithms. Where available, total retinal thicknesses were measured using on-board software. Measured axial eye length (AEL)-dependent scaling was used throughout, with a comparison made to the system-specific fixed-AEL scaling. Inter-session repeatability and agreement between OCT systems and segmentation methods was assessed. Inter-session coefficient of repeatability (CoR) for the foveal subfield total retinal thickness was 3.43μm, 4.76μm, and 5.98μm for the Zeiss, Topcon, and long-wavelength images respectively. For the commercial software, CoR was 4.63μm (Zeiss) and 7.63μm (Topcon). The Iowa Reference Algorithms demonstrated higher repeatability than the on-board software and, in addition, reliably segmented all 10 intra-retinal layers. With fixed-AEL scaling, the algorithm produced significantly different thickness values for the three OCT devices (P<0.05), with these discrepancies generally characterized by an overall offset (bias) and correlations with axial eye length for the foveal subfield and outer ring (P<0.05). This correlation was reduced to an insignificant level in all cases when AEL-dependent scaling was used. Overall, the Iowa Reference Algorithms are viable for clinical and research use in healthy eyes imaged with these devices, however ocular biometry is required for accurate quantification of OCT images.
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影响因子：
4.4
作者：
Buchser, Nancy M.;Wollstein, Gadi;Schuman, Joel S.
通讯作者：
Schuman, Joel S.
影响因子：
13.7
作者：
Hee, MR;Baumal, CR;Fujimoto, JG
通讯作者：
Fujimoto, JG
影响因子：
13.7
作者：
Browning, David J.;Glassman, Adam R.;Miskala, Paivi H.
通讯作者：
Miskala, Paivi H.
影响因子：
13.7
作者：
Avery, RL;Pieramici, DJ;Giust, MJ
通讯作者：
Giust, MJ
DOI：
10.1097/iae.0b013e318242b838
发表时间：
2012-09-01
影响因子：
3.3
作者：
Garcia-Martin, Elena;Pinilla, Isabel;Cuenca, Nicolas
通讯作者：
Cuenca, Nicolas