DocumentCode
3684912
Title
Computer-aided diagnosis of plus disease in retinal fundus images of preterm infants via measurement of vessel tortuosity
Author
Faraz Oloumi;Rangaraj M. Rangayyan;Anna L. Ells
Author_Institution
Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, AB, Canada, T2N 1N4
fYear
2015
Firstpage
4338
Lastpage
4342
Abstract
An increase in retinal vessel tortuosity can be indicative of the presence of various diseases including retinopathy of prematurity (ROP). Accurate detection and measurement of such changes could help in computer-aided diagnosis of plus disease, which warrants treatment of ROP. We present image processing methods for detection and segmentation of retinal vessels, quantification of vessel tortuosity, and diagnostic-decision-making criteria that incorporate the clinical definition of plus-diagnosis. The obtained results using 110 retinal fundus images of preterm infants (91 without plus and 19 with plus) provide high sensitivity = 0.89 (17/19) and excellent specificity = 0.95 (86/91) in the diagnosis of plus disease.
Keywords
"Diseases","Image segmentation","Retina","Skeleton","Retinopathy","Length measurement","Sensitivity"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319355
Filename
7319355
Link To Document