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
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"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7319355