Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes
Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes
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DOI：
10.1364/boe.4.002596
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发表时间：
2013-11-01
影响因子：
3.4
通讯作者：
Schuman, Joel S.
中科院分区：
文献类型：
--
作者：
Nadler, Zach;Wang, Bo;Schuman, Joel S.
我们展示了一种自动分割方法，用于筛板（LC）的体内3D光学相干断层扫描（OCT）成像。LC冠状切片的手动分割被用作自动化技术的参数选择和评价的金标准。该方法使用两个原型OCT设备进行了验证;每个设备都有一个受试者队列，包括健康和青光眼眼睛。体内3D LC OCT显微结构的自动分割与手动分割并行进行，可用于LC的调查研究和临床量化。(C)2013年美国光学学会
We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC. (C) 2013 Optical Society of America