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Proceedings of the AMIA Annual Fall Symposium logoLink to Proceedings of the AMIA Annual Fall Symposium
. 1997:459–463.

Automated measurement of retinal vascular tortuosity.

W E Hart 1, M Goldbaum 1, B Côté 1, P Kube 1, M R Nelson 1
PMCID: PMC2233372  PMID: 9357668

Abstract

Automatic measurement of blood vessel tortuosity is a useful capability for automatic ophthalmological diagnostic tools. We describe a suite of automated tortuosity measures for blood vessel segments extracted from RGB retinal images. The tortuosity measures were evaluated in two classification tasks: (1) classifying the tortuosity of blood vessel segments and (2) classifying the tortuosity of blood vessel networks. These tortuosity measures were able to achieve a classification rate of 91% for the first problem and 95% on the second problem, which confirms that they capture much of the ophthalmologists' notion of tortuosity.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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