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dc.contributor.authorSumer, Emre
dc.contributor.authorEngin, Muharrem
dc.contributor.authorAgildere, Muhtesem
dc.contributor.authorOgul, Hasan
dc.date.accessioned2019-05-04T13:36:52Z
dc.date.available2019-05-04T13:36:52Z
dc.date.issued2018
dc.identifier.issn1300-7009
dc.identifier.urihttps://www.journalagent.com/pajes/pdfs/PAJES_24_5_934_941.pdf
dc.identifier.urihttp://hdl.handle.net/11727/3135
dc.description.abstractLung nodules are frequently observed in cases of cancer. Nodules can be monitored with technologies such as computed tomography (CT) or magnetic resonance imaging (MRI). However. x-ray imaging is a low-cost method as well as its widespread usage. In this context, monitoring the nodules in short intervals by x-ray imaging gives benefits in many aspects. In this study, a three-stage novel approach is proposed to trace the nodule progressions from the lung x-ray images, automatically. In the first stage, x-ray images of a patient taken at different times must be registered to evaluate the nodule progression. To perform the registration, feature extraction and matching methods are employed, and then the homography matrix is calculated. In the second stage, according to previously known nodule positions, matched nodules are detected on registered images. Mismatched nodules in the first image are considered as lost, while the nodules only found in the second image are evaluated as newly appeared. In the last stage, nodules are considered as closed contours consisting of pixel set where closed contour area is calculated after nodule matching process. In this way, growth and shrink states are determined numerically. To test the proposed approach, a patient data set provided by Baskent University, Department of Radiology is used. The validation of the test results is performed by an expert radiologist According to the results obtained, the presented nodule progression trace system is found promising.en_US
dc.language.isoturen_US
dc.relation.isversionof10.5505/pajes.2018.89166en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectX-ray imagesen_US
dc.subjectLung nodulesen_US
dc.subjectImage registrationen_US
dc.subjectNodule matchingen_US
dc.subjectNodule progressionen_US
dc.titleMonitoring nodule progression in chest X-ray imagesen_US
dc.typearticleen_US
dc.relation.journalPAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISIen_US
dc.identifier.volume24en_US
dc.identifier.issue5en_US
dc.identifier.startpage934en_US
dc.identifier.endpage941en_US
dc.identifier.wos000446742400019


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