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      Elevated retinal artery vascular resistance determined by novel visualized technique of laser speckle flowgraphy in branch retinal vein occlusion

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          Abstract

          We aimed to investigate the increase in resistivity of the retinal artery in the branch retinal vein occlusion (BRVO)-affected area, and to visualize it. Thirty-two eyes of 32 patients with BRVO were measured by laser speckle flowgraphy (LSFG). The retinal artery and vein running to the BRVO-affected area and vertically symmetrical vessels in the unaffected area were examined. We applied the LSFG parameter beat strength over mean blur rate (BOM), calculated using a similar method to the pulsatility index used in Doppler flowmetry to evaluate resistivity of the vessels. Our results showed that the BOM map could clearly visualize the increase of resistivity in the retinal artery as a two-dimensional map. The BOM of the arteries in the affected area was significantly higher than that of the unaffected area ( P = 0.001). Multiple regression analysis showed that the ratio of BOM in retinal arteries of the affected area to the unaffected was significantly associated with the extent of retinal hemorrhage (β = 0.447, P = 0.009). In conclusion, the index of resistivity of the retinal artery in the BRVO-affected area was higher and could be visualized in a two-dimensional map. These findings and techniques would contribute to elucidate the pathophysiology of BRVO.

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          SLIC superpixels compared to state-of-the-art superpixel methods.

          Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries, speed, memory efficiency, and their impact on segmentation performance. We then introduce a new superpixel algorithm, simple linear iterative clustering (SLIC), which adapts a k-means clustering approach to efficiently generate superpixels. Despite its simplicity, SLIC adheres to boundaries as well as or better than previous methods. At the same time, it is faster and more memory efficient, improves segmentation performance, and is straightforward to extend to supervoxel generation.
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            Branch retinal vein occlusion: natural history of visual outcome.

            Understanding the natural history of visual outcome in branch retinal vein occlusion (BRVO) is fundamental to its management.
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              Relative flow volume, a novel blood flow index in the human retina derived from laser speckle flowgraphy.

              We investigated the accuracy and reproducibility of relative flow volume (RFV), a novel index of blood flow in the human retina derived from laser speckle flowgraphy (LSFG).
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                Author and article information

                Contributors
                tiwase@med.akita-u.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 October 2021
                8 October 2021
                2021
                : 11
                : 20034
                Affiliations
                [1 ]GRID grid.27476.30, ISNI 0000 0001 0943 978X, Department of Ophthalmology, , Nagoya University Graduate School of Medicine, ; Nagoya, Aichi 466-8560 Japan
                [2 ]GRID grid.251924.9, ISNI 0000 0001 0725 8504, Department of Ophthalmology, , Akita University Graduate School of Medicine, ; 1-1-1 Hondou, Akita, 010-8543 Japan
                Article
                99572
                10.1038/s41598-021-99572-7
                8501139
                34625616
                bdc98c2e-6641-46da-8313-54af05c70704
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 May 2021
                : 23 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: 21K16870
                Award Recipient :
                Funded by: Takayanagi Retinal Research Grant
                Categories
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                Custom metadata
                © The Author(s) 2021

                Uncategorized
                retinal diseases,eye manifestations
                Uncategorized
                retinal diseases, eye manifestations

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