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新型超像素方法可用于可视化健康成年人眼底血流阻力。

Novel superpixel method to visualize fundus blood flow resistivity in healthy adults.

机构信息

Softcare Co., Ltd., Fukutsu, Japan.

Department of Ophthalmology, School of Medicine, Toho University, Tokyo, Japan.

出版信息

Sci Rep. 2023 Apr 15;13(1):6171. doi: 10.1038/s41598-023-33450-2.

Abstract

We aimed to perform superpixel segmentation of ocular blood flow maps obtained using laser speckle flowgraphy (LSFG) and investigate the effects of systemic parameters such as body weight, height, and sex on ocular blood flow resistivity. We studied 757 healthy participants (583 men, 174 women). We calculated the average beat strength over mean blur rate (BOM) as a LSFG resistivity index, as a function of age and sex using ordinary regions of interest (ROI) centered on the optic nerve head (ONH), the retinal vessels region and tissue around the ONH, and the choroid (CHD). We compared the ROI and superpixel-based methods, which are segmented based on image processing, for calculating the BOM. The sex differences in the BOM for the ONH, retinal-vessels region and tissue region of the ONH and CHD were significant for individuals aged ≤ 50 years (P < 0.01) but not those > 50 years old (P > 0.05). The average BOMs calculated using the ROI and superpixel methods were strongly correlated in the ONH (coefficient = 0.87, R = 0.8, P < 0.0001, n = 5465). In summary, a superpixel-segmented BOM map is suitable for two-dimensional visualization of ocular blood flow resistivity.

摘要

我们旨在对激光散斑血流图(LSFG)获得的眼血流图进行超像素分割,并研究体重、身高和性别等全身参数对眼血流阻力的影响。我们研究了 757 名健康参与者(583 名男性,174 名女性)。我们计算了作为 LSFG 电阻率指数的平均搏动强度与平均模糊率的比值(BOM),该指数是使用以视神经头(ONH)、视网膜血管区域和 ONH 周围组织以及脉络膜(CHD)为中心的普通感兴趣区域(ROI),根据年龄和性别计算的。我们比较了基于 ROI 和基于图像处理的超像素方法,用于计算 BOM。对于年龄≤50 岁的个体,ONH、视网膜血管区域和 ONH 组织区域以及 CHD 的 BOM 存在性别差异(P<0.01),但对于年龄>50 岁的个体则没有(P>0.05)。使用 ROI 和超像素方法计算的平均 BOM 在 ONH 中具有很强的相关性(系数=0.87,R=0.8,P<0.0001,n=5465)。总之,超像素分割的 BOM 图适合于眼血流阻力的二维可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/00df/10105763/5c096bd08058/41598_2023_33450_Fig1_HTML.jpg

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