Quantification of Retinal Vascular Tortuosity: Evaluation on Different Numbers of Sampling Points

• Published in: 2018 2nd International Conference on Biomedical Engineering (IBIOMED) pp. 39 - 43
• Main Authors: Nafia, T. D., Handayani, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2018
• Subjects: Biomedical imaging; Biomedical measurement; Blood vessels; Image segmentation; Indexes; Retina; retinal blood vessel; Retinopathy; sampling point; tortuosity
• DOI: 10.1109/IBIOMED.2018.8534883

Local tortuosity in a certain segment of the retinal blood vessels can be used to evaluate progression of some chronic diseases, such as diabetic and hypertensive retinopathy. To ensure objective and accurate observation on the progression of local vessel tortuosity, a quantitative tortuosity measurement index based on digital image processing is required. The generic first step in local tortuosity quantification is to isolate the local retinal blood vessel segment and represent it as series of sampling point coordinates through curve resampling and smoothing procedures. This paper presents the effects of different number of sampling points on the performance of the twelve different retinal local vascular tortuosity indexes. We seek to find the tortuosity index formulation which consistently shows strong correlation with the ophthalmologist assessment and the optimum number of sampling points required to achieve such performance. Our research confirmed that the Tortuosity Density (TD) index provides the highest spearman's rank correlation coefficients with ophthalmolgist assessment, i.e. 0.94 for retinal arteries and 0.85 for retinal veins. This performance was achieved by three-times upsampling from the original vessel sampling points.