Thickness dependent tortuosity estimation for retinal blood vessels

Hind Azegrouz, Emanuele Trucco, Baljean Dhillon, Thomas MacGillivray, I. J. MacCormick

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

Abstract

This paper describes a framework for the automated estimation of vessel tortuosity in retinal images. We introduce a new tortuosity metric that takes into account vessel thickness, yielding estimates plausibly closer to intuition and medical judgement than those from previous metrics. We also propose an algorithm identifying automatically a vasculature segment connecting two points specified manually. Starting from a binary image of the vasculature, the algorithm computes a skeletal (medial axis) representation on which all terminal and branching points are located. This is then converted to a graph representation including connectivity as well as thickness information for all vessels. Target segments for tortuosity estimation are identified automatically from end points selected manually using a shortest-path algorithm. Results are presented and compared with those provided by clinical classification on 50 vessels from DRIVE images. An overall agreement with clinical judgement of 92.4% is achieved, superior to that of comparison measures. © 2006 IEEE.

Original languageEnglish
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages4675-4678
Number of pages4
DOIs
Publication statusPublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New York, NY, United States
Duration: 30 Aug 20063 Sep 2006

Conference

Conference28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBS'06
CountryUnited States
CityNew York, NY
Period30/08/063/09/06

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Retinal Vessels
Intuition

Cite this

Azegrouz, H., Trucco, E., Dhillon, B., MacGillivray, T., & MacCormick, I. J. (2006). Thickness dependent tortuosity estimation for retinal blood vessels. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 4675-4678) https://doi.org/10.1109/IEMBS.2006.260558
Azegrouz, Hind ; Trucco, Emanuele ; Dhillon, Baljean ; MacGillivray, Thomas ; MacCormick, I. J. / Thickness dependent tortuosity estimation for retinal blood vessels. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. pp. 4675-4678
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title = "Thickness dependent tortuosity estimation for retinal blood vessels",
abstract = "This paper describes a framework for the automated estimation of vessel tortuosity in retinal images. We introduce a new tortuosity metric that takes into account vessel thickness, yielding estimates plausibly closer to intuition and medical judgement than those from previous metrics. We also propose an algorithm identifying automatically a vasculature segment connecting two points specified manually. Starting from a binary image of the vasculature, the algorithm computes a skeletal (medial axis) representation on which all terminal and branching points are located. This is then converted to a graph representation including connectivity as well as thickness information for all vessels. Target segments for tortuosity estimation are identified automatically from end points selected manually using a shortest-path algorithm. Results are presented and compared with those provided by clinical classification on 50 vessels from DRIVE images. An overall agreement with clinical judgement of 92.4{\%} is achieved, superior to that of comparison measures. {\circledC} 2006 IEEE.",
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Azegrouz, H, Trucco, E, Dhillon, B, MacGillivray, T & MacCormick, IJ 2006, Thickness dependent tortuosity estimation for retinal blood vessels. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. pp. 4675-4678, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, United States, 30/08/06. https://doi.org/10.1109/IEMBS.2006.260558

Thickness dependent tortuosity estimation for retinal blood vessels. / Azegrouz, Hind; Trucco, Emanuele; Dhillon, Baljean; MacGillivray, Thomas; MacCormick, I. J.

28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 4675-4678.

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

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Azegrouz H, Trucco E, Dhillon B, MacGillivray T, MacCormick IJ. Thickness dependent tortuosity estimation for retinal blood vessels. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 4675-4678 https://doi.org/10.1109/IEMBS.2006.260558