title: Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity.
abstract: Retinopathy of prematurity (ROP), a disorder of the retina occurring in preterm infants, is the leading cause of preventable childhood blindness. An active phase of ROP that requires treatment is associated with the presence of plus disease, which is diagnosed clinically in a qualitative manner by visual assessment of the existence of a certain level of increase in the thickness and tortuosity of retinal vessels. The present study performs computer-aided diagnosis (CAD) of plus disease via quantitative measurement of tortuosity in retinal fundus images of preterm infants. Digital image processing techniques were developed for the detection of retinal vessels and measurement of their tortuosity. The total lengths of abnormally tortuous vessels in each quadrant and the entire image were then computed. A minimum-length diagnostic-decision-making criterion was developed to assess the diagnostic sensitivity and specificity of the values obtained. The area ([Formula: see text]) under the receiver operating characteristic curve was used to assess the overall diagnostic accuracy of the methods. Using a set of 19 retinal fundus images of preterm infants with plus disease and 91 without plus disease, the proposed methods provided an overall diagnostic accuracy of [Formula: see text]. Using the total length of all abnormally tortuous vessel segments in an image, our techniques are capable of CAD of plus disease with high accuracy without the need for manual selection of vessels to analyze. The proposed methods may be used in a clinical or teleophthalmological setting.
authors.affiliation: University of Calgary , Department of Electrical and Computer Engineering, Schulich School of Engineering, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada.
authors.forename: Faraz
authors.initials: F
authors.lastname: Oloumi
authors.affiliation: University of Calgary , Department of Electrical and Computer Engineering, Schulich School of Engineering, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada.
authors.forename: Rangaraj M
authors.initials: RM
authors.lastname: Rangayyan
authors.affiliation: University of Calgary, Department of Electrical and Computer Engineering, Schulich School of Engineering, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada; University of Calgary, Division of Ophthalmology, Department of Surgery, Cumming School of Medicine, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada.
authors.forename: Anna L
authors.initials: AL
authors.lastname: Ells
keywords: computer-aided diagnosis; feature extraction; plus disease; retinal fundus image; retinal vessel tortuosity; retinopathy of prematurity