Polynomial modeling of retinal vessels for tortuosity measurement

• Autorzy: Chetia Sanyukta , Nirmala S. R.

Identyfikatory

DOI

10.1016/j.bbe.2019.03.003

• Języki publikacji: EN

Abstrakty

EN

Tortuosity is one of the micro vascular change that is observed in many retinopathies. Its early detection can prevent the progression of various retinopathies to a critical stage at which a person may become blind. Here, we propose a novel method for the measurement of tortuosity by polynomial modeling of retinal vessels for the analysis of hypertensive retinopathy. The proposed method is tested on a set of 30 arteries and 30 veins vessel images collected from the Retinal Vessel Tortuosity Dataset (RET-TORT). Also, 90 vessel segments from Digital Retinal Images for Vessel Extraction (DRIVE) and 149 vessel segments from High Resolution Fundus (HRF) databases are used for tortuosity evaluation. The experimental results demonstrate that the order of the polynomial increases with the increase in the tortuosity of the blood vessels. Hence, the order of the polynomial can be used as a parameter to classify vessels as non-tortuous and tortuous. The results of the method are also evaluated subjectively and the inter-rater agreement analysis is made by using Fleiss Kappa index. The Spearman's rank order correlation coefficient is used to analyze the correlation between the ranking provided by the expert in the RET-TORT database and the ranking obtained by the proposed method. The results demonstrate that this method is capable of evaluating the tortuosity and classify vessel segments into non-tortuous or tortuous effectively.

Słowa kluczowe

EN

retina; blood vessel; hypertensive retinopathy; Newton's divided difference; polynomial modeling; tortuosity measurement

PL

siatkówka oka; naczynie krwionośne; retynopatia nadciśnieniowa; modelowanie wielomianowe; pomiar krętości

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2019
• Tom: Vol. 39, no. 2
• Strony: 512--525
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Chetia Sanyukta

• Department of Electronics and Communication Engineering (ECE), Gauhati University, Guwahati 781014, Assam, India

autor

Nirmala S. R.

• Department of Electronics and Communication Engineering (ECE), Gauhati University, Guwahati, Assam, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).