Quantifying retinal blood vessels' tortuosity: review

Abdalla, Mowda, Hunter, Andrew and Al-Diri, Bashir (2015) Quantifying retinal blood vessels' tortuosity: review. In: Science and Information Conference (SAI), 2015, 28-30 July 2015, London.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive


Tortuosity of retinal blood vessels has been identified as one of earliest indicators to a number of vascular and nonvascular diseases; therefore, early detection and grading blood vessel tortuosity could help for early diseases prevention of further complications. There have been many attempts to develop an accurate automated tortuosity grading measure or system. These attempts have varied, from classifying vessels as either tortuous or non-tortuous or classifying/grading a number of retinal vessels in increased tortuosity, to evaluate the collective tortuosity of a whole vascular tree. Yet, seem none of these systems has gained a universal acceptance. This paper provides an overview of systems and measures, either automatic or manual, which are most proposed, to quantify tortuosity, and to critically evaluate the strength and limitations of those systems and measures; also it shed light on problems encountered by researchers in this field, such as the absence of unified, publicly available datasets and the limitations of the existing ones in terms of datasets sizes, variety based on pathologies and the suitability of vessels segments used in these datasets.

Keywords:vascular Disease, Tortuosity Measurements, Retinal Blood Vessels, Curvature
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:26900
Deposited On:07 Apr 2017 13:34

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