Automated Quantification of Retinal Microvasculature from OCT Angiography using Dictionary-Based Vessel Segmentation

Astrid Margareta Elisabet Engberg*, Jesper H. Erichsen, Birgit Sander, Line Kessel, Anders Bjorholm Dahl, Vedrana Andersen Dahl

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Investigations in how the retinal microvasculature correlates with ophthalmological conditions necessitate a method for measuring the microvasculature. Optical coherence tomography angiography (OCTA) depicts the superficial and the deep layer of the retina, but quantification of the microvascular network is still needed. Here, we propose an automatic quantitative analysis of the retinal microvasculature. We use a dictionary-based segmentation to detect larger vessels and capillaries in the retina and we extract features such as densities and vessel radius. The method is validated on repeated OCTA scans from healthy subjects, and we observe high intraclass correlation coecients and high agreement in a Bland-Altman analysis. The quantification method is also applied to pre- and postoperative scans of cataract patients. Here, we observe a higher variation between the measurements, which can be explained by the greater variation in scan quality. Statistical tests of both the healthy subjects and cataract patients show that our method is able to di↵erentiate subjects based on the extracted microvascular features.
Original languageEnglish
Title of host publicationMedical Image Understanding and Analysis
Publication date2019
ISBN (Print)978-3-030-39342-7
Publication statusPublished - 2019
Event23rd Conference on Medical Image Understanding and Analysis - University of Liverpool, Liverpool, United Kingdom
Duration: 24 Jul 201926 Jul 2019
Conference number: 23


Conference23rd Conference on Medical Image Understanding and Analysis
LocationUniversity of Liverpool
Country/TerritoryUnited Kingdom
SeriesCommunications in Computer and Information Science


  • OCTA
  • Dictionary-based segmentation
  • Quantification


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