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Automated and ImageJ thresholding algorithm-based analysis of macular vessel density in diabetic patients.
| Content Provider | Europe PMC |
|---|---|
| Author | Kumawat, Devesh Chawla, Rohan Shah, Pooja Sharma, Anu Sachan, Anusha Pandey, Veena |
| Copyright Year | 2022 |
| Abstract | Purpose:To assess the macular vessel density (VD) on optical coherence tomography angiography (OCT-A) using proprietary software (automated) and image processing software (manual) in diabetic patients.Methods:In a retrospective study, OCT-A images (Triton, TOPCON Inc.) of type 2 diabetics presenting to a tertiary eye care center in North India between January 2018 and December 2019 with or without nonproliferative diabetic retinopathy (NPDR) and with no macular edema were analyzed. Macular images of size 3 × 3 mm were binarized with global thresholding algorithms (ImageJ software). Outcome measures were superficial capillary plexus VD (SCP-VD, automated and manual), deep capillary plexus VD (DCP-VD, manual), and correlation between automated and manual SCP-VD.Results:OCT-A images of 89 eyes (55 patients) were analyzed: no diabetic retinopathy (NoDR): 29 eyes, mild NPDR: 29 eyes, and moderate NPDR: 31 eyes. Automated SCP-VD did not differ between NoDR and mild NPDR (P = 0.69), but differed between NoDR and moderate NPDR (P = 0.014) and between mild and moderate NPDR (P = 0.033). Manual SCP-VD (Huang and Otsu methods) did not differ between the groups. Manual DCP-VD differed between NoDR and mild NPDR and between NoDR and moderate NPDR, but not between mild and moderate NPDR with both Huang (P = 0.024, 0.003, and 0.51, respectively) and Otsu (P = 0.021, 0.006, and 0.43, respectively) methods. Automated SCP-VD correlated moderately with manual SCP-VD using Huang method (r = 0.51, P < 0.001) with a mean difference of −0.01% (agreement limits from −6.60% to +6.57%).Conclusion:DCP-VD differs consistently between NoDR and NPDR with image processing, while SCP-VD shows variable results. Different thresholding algorithms provide different results, and there is a need to establish consensus on the most suited algorithm. |
| ISSN | 03014738 |
| Journal | Indian Journal of Ophthalmology |
| Volume Number | 70 |
| PubMed Central reference number | PMC9359289 |
| Issue Number | 6 |
| PubMed reference number | 35647980 |
| e-ISSN | 19983689 |
| DOI | 10.4103/ijo.ijo_74_22 |
| Language | English |
| Publisher | Wolters Kluwer - Medknow |
| Publisher Date | 2022-06-01 |
| Publisher Place | India |
| Access Restriction | Open |
| Rights License | This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. Copyright: © 2022 Indian Journal of Ophthalmology |
| Subject Keyword | Capillary Plexus Vessel Density diabetic retinopathy ImageJ processing software optical coherence tomography angiography thresholding algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ophthalmology |