Computer-aided Diagnosis of Plus Disease via Quantitative Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants

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atmire.migration.oldid3950
dc.contributor.advisorRangayyan, Rangaraj M.
dc.contributor.authorOloumi, Faraz
dc.contributor.committeememberElls, Anna L.
dc.contributor.committeememberSmith, Michael R.
dc.contributor.committeememberBoyd, Steven K.
dc.contributor.committeememberParhi, Keshab K.
dc.date.accessioned2015-12-22T21:12:45Z
dc.date.available2015-12-22T21:12:45Z
dc.date.issued2015-12-22
dc.date.submitted2015en
dc.description.abstractRetinopathy of prematurity (ROP) is a disorder of the eye that may develop in preterm-born infants. If left untreated, ROP may lead to retinal detachment and ultimately blindness. A warrant for treatment of ROP is the detection of plus disease, which is clinically diagnosed by the presence of certain levels of increase in the tortuosity and thickness of retinal vessels. The openness of the major temporal arcade (MTA), the thickest branch of the venules, has also been observed to decrease in the presence of plus disease. It has been shown that there is interexpert disagreement on diagnosis of plus disease, even among expert ophthalmologists and retinal specialists, which calls for development of image processing techniques to detect and diagnose plus disease more accurately by analysis of retinal fundus images of preterm infants. This work presents image processing methods for the extraction of diagnostic features from retinal fundus images of preterm infants, for the purpose of computer-aided diagnosis (CAD) of plus disease. The features include measures of the thickness and openness of the MTA as well as tortuosity of retinal vessels. The methods include directionally sensitive Gabor filters for the detection and extraction of vessels, as well as morphological techniques for segmentation, binarization, and skeletonization of the vasculature. Methods are proposed for tracking and segmentation of only the MTA. Using geometrical modeling and analysis, the openness and thickness of the MTA are quantified. Tortuosity of vessels is quantified by analyzing the variation in the dominant orientation of vessels obtained by the application of Gabor filters. Receiver operating characteristic (ROC) analysis of the diagnostic performance of the measures of thickness, openness, and tortuosity resulted in area under the ROC curves of 0.75, 0.70, and 0.98, respectively. The methods may be used in a clinical or teleophthalmological setting for CAD of plus disease.en_US
dc.identifier.citationOloumi, F. (2015). Computer-aided Diagnosis of Plus Disease via Quantitative Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25400en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25400
dc.identifier.urihttp://hdl.handle.net/11023/2701
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Biomedical
dc.subject.classificationretinal vessels, quantitative analysis, fundus image, vessel detection, Gabor filters, thickness, tortuosity, retinopathy of prematurity, plus disease, computer-aided diagnosis, image processing, feature extractionen_US
dc.titleComputer-aided Diagnosis of Plus Disease via Quantitative Analysis of the Vascular Architecture in Retinal Fundus Images of Preterm Infants
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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