Simple and efficient method to measure vessel tortuosity

Hamid Reza Pourreza, Mariam Pourreza, Touka Banaee

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

Abstract

Retinal vessels tortuosity is one of the important signs of cardiovascular diseases such as diabetic retinopathy and hypertension. In this paper we present a simple and efficient algorithm to measure the grade of tortuosity in retinal images. This algorithm consists of four main steps,vessel detection, extracting vascular skeleton via thinning, detection of vessel crossovers and bifurcations and finally calculating local and global tortuosity. The last stage is based on a circular mask that is put on every skeleton point of retinal vessels. While the skeleton of vessel splits the circle in each position, the local tortuosity is considered to be the bigger to smaller area ratio. The proposed algorithm is tested over the Grisan's dataset and our local dataset that prepared by Khatam-Al-Anbia hospital. The results show the Spearman correlation coefficient of over than 85% and 95% for these two datasets, respectively.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International Conference on Computer and Knowledge Engineering, ICCKE 2013
Pages219-222
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event3rd International Conference on Computer and Knowledge Engineering, ICCKE 2013 - Mashhad, Iran, Islamic Republic of
Duration: Oct 31 2013Nov 1 2013

Publication series

NameProceedings of the 3rd International Conference on Computer and Knowledge Engineering, ICCKE 2013

Conference

Conference3rd International Conference on Computer and Knowledge Engineering, ICCKE 2013
CountryIran, Islamic Republic of
CityMashhad
Period10/31/1311/1/13

Keywords

  • hypertensive
  • image processing
  • retinopathy
  • tortuosity
  • vessel

ASJC Scopus subject areas

  • Computer Networks and Communications

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