Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Ophthalmology. 2012 Aug;119(8):1563-8. doi: 10.1016/j.ophtha.2012.02.032. Epub 2012 Jun 8.
We sought to visualize the aqueous outflow system in 3 dimensions (3D) in living human eyes, and to investigate the use of commercially available spectral-domain optical coherence tomographic (SD-OCT) systems for this purpose.
Prospective, observational study.
One randomly determined eye in each of 6 normal healthy subjects was included.
We performed 3D SD-OCT imaging of the aqueous humor outflow structures with 2 devices: The Cirrus HD-OCT and the Bioptigen SDOIS.
We created 3D virtual castings of Schlemm's canal (SC) and more distal outflow structures from scan data from each device.
Virtual casting of the SC provided visualization of more aqueous vessels branching from SC than could be located by interrogating the 2-dimensional (2D) image stack. Similarly, virtual casting of distal structures allowed visualization of large and small aqueous outflow channel networks that could not be appreciated with conventional 2D visualization.
The outflow pathways from SC to the superficial vasculature can be identified and tracked in living human eyes using commercially available SD-OCT.
我们试图在活体人眼中可视化房水流出系统的三维（3D）结构，并研究商用谱域光学相干断层扫描（SD-OCT）系统在这方面的应用。
前瞻性观察研究。
纳入 6 名正常健康受试者的每只随机确定的眼。
我们使用 2 种设备对房水流出结构进行了 3D SD-OCT 成像：Cirrus HD-OCT 和 Bioptigen SDOIS。
我们从每个设备的扫描数据中创建了 Schlemm 管（SC）和更远端流出结构的 3D 虚拟铸型。
SC 的虚拟铸型提供了比通过询问二维（2D）图像堆栈所能定位的更多分支自 SC 的房水血管可视化。同样，远端结构的虚拟铸型允许可视化大的和小的房水流出通道网络，这是无法用传统的 2D 可视化来欣赏的。
使用商用 SD-OCT 可以在活体人眼中识别和跟踪来自 SC 到浅层血管的流出途径。
