It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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, R2 = 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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Softcare Co., Ltd., Fukutsu, Japan
2 Toho University, Department of Ophthalmology, School of Medicine, Tokyo, Japan (GRID:grid.265050.4) (ISNI:0000 0000 9290 9879); International University of Health and Welfare Narita Hospital, Department of Ophthalmology, Chiba, Japan (GRID:grid.265050.4)
3 International University of Health and Welfare Narita Hospital, Department of Ophthalmology, Chiba, Japan (GRID:grid.265050.4)
4 Toho University, Department of Ophthalmology, School of Medicine, Tokyo, Japan (GRID:grid.265050.4) (ISNI:0000 0000 9290 9879)
5 Softcare Co., Ltd., Fukutsu, Japan (GRID:grid.265050.4); Kyushu Institute of Technology, Department of Computer Science and Electronics, Iizuka, Japan (GRID:grid.258806.1) (ISNI:0000 0001 2110 1386)