Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, USA.
Transl Vis Sci Technol. 2022 May 2;11(5):19. doi: 10.1167/tvst.11.5.19.
To compare cone mosaic metrics derived from adaptive optics scanning light ophthalmoscopy (AOSLO) images with those derived from Heidelberg Engineering SPECTRALIS High Magnification Module (HMM) images.
Participants with contiguous cone mosaics had HMM imaging performed at locations superior and temporal to the fovea. These images were registered and averaged offline and then aligned to split-detection AOSLO images; 200 × 200-µm regions of interest were extracted from both modalities. Cones were semi-automatically identified by two graders to provide estimates of cone density and spacing.
Thirty participants with contiguous cone mosaics were imaged (10 males, 20 females; age range, 11-67 years). Image quality varied, and 80% of our participants had analyzable HMM images. The intergrader intraclass correlation coefficients for cone metrics were good for both modalities (0.688-0.757 for HMM; 0.805-0.836 for AOSLO). Cone density estimates from HMM images were lower by 2661 cones/mm2 (24.1%) on average compared to AOSLO-derived estimates. Accordingly, HMM estimates of cone spacing were increased on average compared to AOSLO.
The cone mosaic can be visualized in vivo using the SPECTRALIS HMM, although image quality is variable and imaging is not successful in every individual. Metrics extracted from HMM images can differ from those from AOSLO, although excellent agreement is possible in individuals with excellent optical quality and precise co-registration between modalities.
Emerging non-adaptive optics-based photoreceptor imaging is more clinically accessible than adaptive optics techniques and has potential to expand high-resolution imaging in a clinical environment.
比较基于自适应光学扫描检眼镜(AOSLO)图像的圆锥体镶嵌图测量值与基于海德堡工程光谱高倍模块(HMM)图像的圆锥体镶嵌图测量值。
参与者具有连续的圆锥体镶嵌图,在黄斑上方和颞侧进行 HMM 成像。这些图像在线下进行注册和平均处理,然后与分裂检测 AOSLO 图像对齐;从两种模式中提取 200×200µm 的感兴趣区域。通过两位分级员半自动识别圆锥体,提供圆锥体密度和间距的估计值。
对 30 名具有连续圆锥体镶嵌图的参与者进行了成像(10 名男性,20 名女性;年龄范围为 11-67 岁)。图像质量存在差异,我们的 80%参与者有可分析的 HMM 图像。两种模式的圆锥体测量值的分级员间内类相关系数均较好(HMM 为 0.688-0.757;AOSLO 为 0.805-0.836)。与 AOSLO 相比,HMM 图像的圆锥体密度估计值平均低 2661 个圆锥/mm2(24.1%)。因此,与 AOSLO 相比,HMM 估计的圆锥体间距平均增加。
尽管图像质量存在差异,并且并非每个人都能成功成像,但 Spectralis HMM 可用于体内可视化圆锥体镶嵌图。从 HMM 图像中提取的测量值可能与 AOSLO 不同,但在具有良好光学质量和两种模式之间精确配准的个体中,可能会有很好的一致性。
SPECTRALIS HMM 可用于体内可视化圆锥体镶嵌图,尽管图像质量存在差异,并且并非每个人都能成功成像。从 HMM 图像中提取的测量值可能与 AOSLO 不同,但在具有良好光学质量和两种模式之间精确配准的个体中,可能会有很好的一致性。