Computational Methods for OCT Images Analyze Provided Within Diabetic Retinopathy
| Autor: | Paul E. Sterian, Daniela Moraru, Sanziana Istrate, Cecilia Eniceicu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
genetic structures medicine.diagnostic_test business.industry Differential correction Retinal Spectral domain Diabetic retinopathy medicine.disease eye diseases 03 medical and health sciences chemistry.chemical_compound Glycaemic index 0302 clinical medicine chemistry Optical coherence tomography Diabetes mellitus Ophthalmology 030221 ophthalmology & optometry medicine sense organs 030212 general & internal medicine business Retinopathy |
| Zdroj: | Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030242954 ICCSA (2) |
| DOI: | 10.1007/978-3-030-24296-1_21 |
| Popis: | The paper aims to evaluate the variability of the retinal macular thickness to the glycaemic level in non-proliferative diabetic retinopathy by measuring the retinal thickness using the spectral domain optical-coherence tomography (SD-OCT), during daytime, for patients with diabetic retinopathy (DR) or without diabetes mellitus (DM). The evaluation was carried out using the ImageJ software as a processed method of OCT images from the analysed patients and the Origin 6.0 software as an analytical method of OCT macular thickness data. The paper demonstrated that not only the age of the patients but also the time of the day are significant factors that influence diabetic retinopathy. In addition, the paper also highlights the possibility of controlling retinopathy through differential correction of the glycaemic index at the time the specific medication is provided. |
| Databáze: | OpenAIRE |
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