Analysis of Retinal Vascular Biomarkers for Early Detection of Diabetes

作者：Zhang Jiong^*; Dashtbozorg Behdad; Huang Fan; Berendschot Tos T. J. M.; Romeny Bart M. ter Haar

来源：6th ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE), 2017-10-18 To 2017-10-20.

DOI：10.1007/978-3-319-68195-5_88

• Retinal image analysis
• Vessel biomarkers
• Computer-aided diagnosis
• Diabetes mellitus

This paper presents an automated retinal vessel analysis system for the measurement and statistical analysis of vascular biomarkers. The proposed retinal vessel enhancement, segmentation, optic disc and fovea detection algorithms provide fundamental tools for extracting the vascular network within the predefined region of interest (ROI). Based on that, the artery/vein classification, vessel caliber, curvature and fractal dimension measurement tools are used to assess the quantitative vascular biomarkers: width, tortuosity, and fractal dimension. A statistical analysis on the extracted geometric biomarkers is set up using a dataset provided by the Maastricht study with the aim of exploring the associations between different vessel biomarkers and type 2 diabetes mellitus. A linear regression analysis is used to model the relationships between different factors. The results indicate that the vascular biomarker variables have associations with diabetes. These findings demonstrate the possibility of applying the proposed pipeline tools on further analysis of vessel biomarkers for the computer-aided diagnosis.

• 出版日期2018
• 单位东北大学