Novel Computerized Method for Measurement of Retinal Vessel Diameters
Several clinical studies reveal the relationship between alterations in the topologies of the human retinal blood vessel, the outcrop and the disease evolution, such as diabetic retinopathy, hypertensive retinopathy, and macular degeneration. Indeed, the detection of these vascular changes always ha...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-03-01
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| Series: | Biomedicines |
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| Online Access: | http://www.mdpi.com/2227-9059/5/2/12 |
| _version_ | 1819039078858883072 |
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| author | Hichem Guedri Mariem Ben Abdallah Fraj Echouchene Hafedh Belmabrouk |
| author_facet | Hichem Guedri Mariem Ben Abdallah Fraj Echouchene Hafedh Belmabrouk |
| author_sort | Hichem Guedri |
| collection | DOAJ |
| description | Several clinical studies reveal the relationship between alterations in the topologies of the human retinal blood vessel, the outcrop and the disease evolution, such as diabetic retinopathy, hypertensive retinopathy, and macular degeneration. Indeed, the detection of these vascular changes always has gaps. In addition, the manual steps are slow, which may be subjected to a bias of the perceiver. However, we can overcome these troubles using computer algorithms that are quicker and more accurate. This paper presents and investigates a novel method for measuring the blood vessel diameter in the retinal image. The proposed method is based on a thresholding segmentation and thinning step, followed by the characteristic point determination step by the Douglas-Peucker algorithm. Thereafter, it uses the active contours to detect vessel contour. Finally, Heron’s Formula is applied to assure the calculation of vessel diameter. The obtained results for six sample images showed that the proposed method generated less errors compared to other techniques, which confirms the high performance of the proposed method. |
| first_indexed | 2024-12-21T08:47:30Z |
| format | Article |
| id | doaj.art-6ac2db43d28148d7b98af7213ddbb6ff |
| institution | Directory Open Access Journal |
| issn | 2227-9059 |
| language | English |
| last_indexed | 2024-12-21T08:47:30Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj.art-6ac2db43d28148d7b98af7213ddbb6ff2022-12-21T19:09:48ZengMDPI AGBiomedicines2227-90592017-03-01521210.3390/biomedicines5020012biomedicines5020012Novel Computerized Method for Measurement of Retinal Vessel DiametersHichem Guedri0Mariem Ben Abdallah1Fraj Echouchene2Hafedh Belmabrouk3Electronics and Microelectronics Laboratory, Physics Department, Faculty of Sciences, Monastir University, Monastir 5019, TunisiaElectronics and Microelectronics Laboratory, Physics Department, Faculty of Sciences, Monastir University, Monastir 5019, TunisiaElectronics and Microelectronics Laboratory, Physics Department, Faculty of Sciences, Monastir University, Monastir 5019, TunisiaElectronics and Microelectronics Laboratory, Physics Department, Faculty of Sciences, Monastir University, Monastir 5019, TunisiaSeveral clinical studies reveal the relationship between alterations in the topologies of the human retinal blood vessel, the outcrop and the disease evolution, such as diabetic retinopathy, hypertensive retinopathy, and macular degeneration. Indeed, the detection of these vascular changes always has gaps. In addition, the manual steps are slow, which may be subjected to a bias of the perceiver. However, we can overcome these troubles using computer algorithms that are quicker and more accurate. This paper presents and investigates a novel method for measuring the blood vessel diameter in the retinal image. The proposed method is based on a thresholding segmentation and thinning step, followed by the characteristic point determination step by the Douglas-Peucker algorithm. Thereafter, it uses the active contours to detect vessel contour. Finally, Heron’s Formula is applied to assure the calculation of vessel diameter. The obtained results for six sample images showed that the proposed method generated less errors compared to other techniques, which confirms the high performance of the proposed method.http://www.mdpi.com/2227-9059/5/2/12active contourblood vessel diameterDouglas-Peucker algorithmeye diseasesretinal image |
| spellingShingle | Hichem Guedri Mariem Ben Abdallah Fraj Echouchene Hafedh Belmabrouk Novel Computerized Method for Measurement of Retinal Vessel Diameters Biomedicines active contour blood vessel diameter Douglas-Peucker algorithm eye diseases retinal image |
| title | Novel Computerized Method for Measurement of Retinal Vessel Diameters |
| title_full | Novel Computerized Method for Measurement of Retinal Vessel Diameters |
| title_fullStr | Novel Computerized Method for Measurement of Retinal Vessel Diameters |
| title_full_unstemmed | Novel Computerized Method for Measurement of Retinal Vessel Diameters |
| title_short | Novel Computerized Method for Measurement of Retinal Vessel Diameters |
| title_sort | novel computerized method for measurement of retinal vessel diameters |
| topic | active contour blood vessel diameter Douglas-Peucker algorithm eye diseases retinal image |
| url | http://www.mdpi.com/2227-9059/5/2/12 |
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