An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset

Aneta Lisowska, Roberto Annunziata, Graeme Kenneth Loh, David Karl, Emanuele Trucco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

We compare the performance of five indices of retinal vessel tortuosity against sampling rates of vessel centerlines. We consider distance measure, tortuosity density, two curvature-based measures, and a recently introduced slope-chain coding for general curves, never before assessed comparatively with retinal vessels. To enable replication of our results, we use the public dataset for retinal tortuosity, RETTORT. We find that (1) the tortuosity density index offers good performance overall, but is not always the best performer; (2) curvature-based methods are the best if high-frequency resampling is possible, but (3) are the most sensitive to variations of the number of samples; (4) slope-chain coding performs best at low sampling rates, but the length of the linear elements must be chosen carefully. In general, performance may vary considerably with resampling, suggesting that the choice of a tortuosity index for clinical inference requires attention to numerical details, and ideally standardization thereof.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherIEEE
Pages5414-5417
Number of pages4
ISBN (Print)9781424479290, 9781424479276
DOIs
Publication statusPublished - 2014
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: “Discovering, Innovating, and Engineering Future Biomedicine” - Sheraton Hotel & Towers, Chicago, United States
Duration: 26 Aug 201430 Aug 2014
http://embc.embs.org/2014/

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: “Discovering, Innovating, and Engineering Future Biomedicine”
Abbreviated titleEMBC 2014
CountryUnited States
CityChicago
Period26/08/1430/08/14
Internet address

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  • Cite this

    Lisowska, A., Annunziata, R., Loh, G. K., Karl, D., & Trucco, E. (2014). An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 5414-5417). IEEE. https://doi.org/10.1109/EMBC.2014.6944850