Το work with title Automatic detection of video-capillaroscopy alternations in scleroderma pathologies by Kaditis Emmanouil is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
Emmanouil Kaditis, "Automatic detection of video-capillaroscopy alternations in scleroderma pathologies", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2020
https://doi.org/10.26233/heallink.tuc.87058
Video - capillaroscopy is a non-invasive imaging technique for the in vivo study of microcirculation. Several doctors and physicians suggest the adoption of video - capillaroscopy to detect typical vascular and visceral involvement as digital ulcers, pulmonary arterial hypertension and pulmonary interstitial disease. Unluckily the routine clinical application of VCS is limited by the poor reproducibility of the measurement, since the detection of the parameters of interest is mainly based on the subjective image interpretation of the doctor.This project aims at developing a new tool suitable to automatically recognize and quantify capillaroscopic alterations. On the one hand, the work available in the field of photoplethysmography can be exploited to detect volumes and / or variations of volume in blood vessels. On the other hand, the well known theory of biomedical image processing can be employed to quantitatively detect capillaroscopic alterations.The activities assigned to this thesis are:• Designing an infrared (IR) illuminator to exploit the optical properties of blood at various wavelengths.• Designing the mechanical setup suitable to standardize the probe placement and pressure exerted on the skin.• Identifying the proper IR video camera• Designing and/or identifying an optical system suitable to provide the proper magnification and capture range• Integrating all the selected parts into a single setup/instrument.