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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/62DEE191-99A9-4563-949F-3FFD47092453 | ||
| Year | 2020 | ||
| Type of Item | Diploma Work | ||
| License |
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| Bibliographic Citation | Konstantina Bantra, "Automated image processing system for the analysis of small vessels of the microcirculation in the nailfold (Capillaroscopy)", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2020 https://doi.org/10.26233/heallink.tuc.86369 | ||
| Appears in Collections |
Over the years, nail-fold capillaroscopy has emerged as a safe, noninvasive, and accurate technique that can be used in determining the characteristics and the morphology of the blood capillaries near the nail-fold area. Various scholars have proved the connection between the morphology of the blood capillaries and the risks of rheumatic diseases such as the system sclerosis. While nail-fold capillaroscopy has been in practice since the early 1970s, assessment of blood capillaries is still performed using visual examination by medical officers. Thus, the objective of this study is to design an automated image processing system which will ease the diagnostic process by providing the doctors with more information on the state of the capillaries. This way the system will, in the long run, help in reducing diagnostic ambiguity and also in creating more concise and realizable results. The proposed approach consists a segmentation phase and a feature extraction phase. Finally, the system’s results are evaluated by comparing the automated calculations to the values that were measured manually in respective features.
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