A Comparative Study Towards the Establishment of an Automatic Retinal Vessel Width Measurement Technique

Fan Huang, Behdad Dashtbozorg, Alexander Ka Shing Yeung, Jiong Zhang, Tos T. J. M. Berendschot, Bart M. ter Haar Romeny

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

In this paper, we propose an automatic technique for the assessment of retinal vessel caliber in fundus images using a fully automatic technique exploiting a multi-scale active contour technique. The proposed method is compared with the well-known semi-automated ivan software and the vampire width annotation tool. Experimental results show that our approach is able to provide fast and fully automatic caliber measurements with similar caliber measurement and comparable system error as the ivan software. It will benefit the analysis of quantitative retinal vessel caliber measurements in large-scale screening programs.
Original languageEnglish
Title of host publicationFetal, Infant and Ophthalmic Medical Image Analysis
EditorsM. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Garvin, Emma Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien Desjardin, Tom Vercauteren
Place of PublicationCham
PublisherSpringer
Pages227-234
Number of pages8
ISBN (Print)978-3-319-67560-2
DOIs
Publication statusPublished - 2017

Publication series

SeriesLecture Notes in Computer Science

Cite this

Huang, F., Dashtbozorg, B., Yeung, A. K. S., Zhang, J., Berendschot, T. T. J. M., & ter Haar Romeny, B. M. (2017). A Comparative Study Towards the Establishment of an Automatic Retinal Vessel Width Measurement Technique. In M. J. Cardoso, T. Arbel, A. Melbourne, H. Bogunovic, P. Moeskops, X. Chen, E. Schwartz, M. Garvin, E. Robinson, E. Trucco, M. Ebner, Y. Xu, A. Makropoulos, A. Desjardin, & T. Vercauteren (Eds.), Fetal, Infant and Ophthalmic Medical Image Analysis (pp. 227-234). Springer. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-319-67561-9_26