Computer-Aided Diagnosis

Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity

[+] Author Affiliations
Faraz Oloumi, Rangaraj M. Rangayyan

University of Calgary, Department of Electrical and Computer Engineering, Schulich School of Engineering, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada

Anna L. Ells

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

J. Med. Imag. 3(4), 044505 (Dec 15, 2016). doi:10.1117/1.JMI.3.4.044505
History: Received July 27, 2016; Accepted November 18, 2016
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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 (Az) 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 Az=0.98. 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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Faraz Oloumi ; Rangaraj M. Rangayyan and Anna L. Ells
"Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity", J. Med. Imag. 3(4), 044505 (Dec 15, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.4.044505


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