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首页> 外文期刊>American Journal of Ophthalmology: The International Journal of Ophthalmology >Computerized Assessment of Intraretinal and Subretinal Fluid Regions in Spectral-Domain Optical Coherence Tomography Images of the Retina
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Computerized Assessment of Intraretinal and Subretinal Fluid Regions in Spectral-Domain Optical Coherence Tomography Images of the Retina

机译:视网膜光谱域光学相干断层扫描图像中的Intraretinal和Subretinal流体区域的计算机化评估

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PURPOSE: To evaluate a new computerized segmentation technique for the quantification of intraretinal and subretinal fluid in spectral-domain optical coherence tomography (SD OCT) images of the retina. DESIGN: Prospective, cross-sectional study. METHODS: Thirty-seven B-scan images of 37 patients with exudative age-related macular degeneration were chosen randomly from SD OCT volume scans (1 per volume scan). All hyporeflective areas in the image first were segmented automatically as candidate regions by the program. Researchers who were masked to the candidate region information selected each fluid region from the original image using a single mouse click. The program then delineated the boundary of each region selected and calculated quantitative parameters, including total area of fluid regions if multiple regions were selected. The performance of our technique was validated by comparing the results with the measurements obtained from boundaries manually delineated by 2 masked observers. Time efficiency, agreement with manual delineation, and intraobserver and inter-observer agreement of using the program were evaluated. RESULTS: The proposed technique reduced the average processing time per image approximately 6-fold (15 seconds for computerized segmentation vs 90 seconds for manual delineation). There was good agreement between computerized segmentation and manual delineation measured by intraclass correlation coefficient (range, 0.897 to 0.979) and the Dice coefficient (range, 0.721 to 0.785). The proposed technique has excellent intraobserver and interobserver agreement (intraclass correlation coefficient range, 0.998 to 0.999; Dice coefficient range. 0.959 to 0.981). CONCLUSIONS: This computerized segmentation method allows for accurate and fast quantification of fluid in retinal SD OCT images and could assist in monitoring disease progression and evaluating therapeutic intervention.
机译:目的:评价用于在视网膜的光谱域光学相干断层扫描(SD OCT)图像中的intrareLinal和Subretinal流体量化的新计算机化分割技术。设计:前瞻性,横截面研究。方法:从SD OCT体积扫描中随机选择37例具有渗出性年龄相关性黄斑变性的37例患者的37例患者(每体积扫描1)。图像中的所有低度反射区域首先通过该程序作为候选地区自动进行分割。被屏蔽到候选区域信息的研究人员使用单击单击从原始图像中选择每个流体区域。然后,该程序描绘了所选择的每个区域的边界和计算的定量参数,包括如果选择多个区域,则包括流体区域的总面积。通过将结果与由2个掩蔽观察者手动描绘的界限获得的测量结果进行比较,通过将结果进行验证,验证了我们的技术的性能。评估时间效率,与手动描绘的协议以及使用该计划的internobserver和观察者间使用该计划的协议。结果:所提出的技术减少了每张图像的平均处理时间大约6倍(电脑分割15秒,用于手动描绘90秒)。计算机化分割和手动描绘之间的良好一致性,通过脑内相关系数(范围,0.897至0.979)和骰子系数(范围,0.721至0.785)。该技术具有出色的陷入内窥镜和Interobserver协议(脑内相关系数范围,0.998至0.999;骰子系数范围。0.959至0.981)。结论:这种计算机化的分割方法允许视网膜SD IOD图像中的液体准确和快速定量流体,可以帮助监测疾病进展和评估治疗干预。

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