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利用双共轭自适应光学技术无创成像人眼中心凹毛细血管网络。

Noninvasive imaging of human foveal capillary network using dual-conjugate adaptive optics.

机构信息

Department of Ophthalmology, University of Gothenburg, Gothenburg, Sweden.

出版信息

Invest Ophthalmol Vis Sci. 2011 Apr 22;52(5):2649-55. doi: 10.1167/iovs.10-6054.

Abstract

PURPOSE

To demonstrate noninvasive imaging of human foveal capillary networks with a high-resolution, wide-field, dual-conjugate adaptive optics (DCAO) imaging instrument.

METHODS

The foveal capillary networks of five healthy subjects with no previous history of ocular or neurologic disease or surgery were imaged with a novel high-resolution, wide-field DCAO instrument. The foveal avascular zone (FAZ) in each image was defined using a manual procedure. An automated algorithm based on publicly available and custom-written software was used to identify vessels and extract morphologic FAZ and vessel parameters. Capillary densities were calculated in two annular regions of interest (ROIs) outside the FAZ (500 μm and 750 μm outer radius from the foveal center) and in the superior, inferior, temporal, and nasal quadrants within the two ROIs.

RESULTS

Mean FAZ area was 0.302 ± 0.100 mm(2), and mean capillary density (length/area) in the inner ROI was 38.0 ± 4.0 mm(-1) and 36.4 ± 4.0 mm(-1) in the outer ROI. The difference in ROI capillary density was not significant. There was no significant difference in quadrant capillary density within the two ROIs or between quadrants irrespective of ROI.

CONCLUSIONS

The authors have demonstrated a technique for noninvasive imaging and semiautomated detection and analysis of foveal capillaries. In comparison with other studies, their method yielded lower capillary densities than histology but similar results to the current clinical gold standard, fluorescein angiography. The increased field of view of the DCAO instrument opens up new possibilities for high-resolution noninvasive clinical imaging of foveal capillaries.

摘要

目的

利用高分辨率、大视场双共轭自适应光学(DCAO)成像仪,对人眼中心凹毛细血管网络进行非侵入性成像。

方法

使用新型高分辨率、大视场 DCAO 仪器对 5 名无眼部或神经系统疾病或手术史的健康受试者的中心凹毛细血管网络进行成像。使用手动程序定义每个图像中的中心凹无血管区(FAZ)。基于公开和自定义编写的软件的自动算法用于识别血管并提取形态 FAZ 和血管参数。在 FAZ (距中心凹 500 μm 和 750 μm 外半径)外的两个环形感兴趣区域(ROI)和在两个 ROI 内的上、下、颞和鼻象限中计算毛细血管密度。

结果

平均 FAZ 面积为 0.302 ± 0.100 mm²,内 ROI 平均毛细血管密度(长度/面积)为 38.0 ± 4.0 mm⁻¹,外 ROI 为 36.4 ± 4.0 mm⁻¹。ROI 内毛细血管密度无显著差异。两个 ROI 内或象限之间的象限毛细血管密度无显著差异。

结论

作者已经证明了一种非侵入性成像以及中心凹毛细血管的半自动检测和分析技术。与其他研究相比,他们的方法得出的毛细血管密度低于组织学,但与当前的临床金标准荧光素血管造影相似。DCAO 仪器的视场增加为高分辨率非侵入性中心凹毛细血管临床成像开辟了新的可能性。

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