Segmentation of the Ilium and Femur Regions from Ultrasound Images for Diagnosis of Developmental Dysplasia of the Hip

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dc.contributor.authorCevik, Kerim Kursat
dc.contributor.authorKocer, Hasan Erdinc
dc.contributor.authorAndac, Seyda
dc.date.accessioned2020-03-26T19:26:14Z
dc.date.available2020-03-26T19:26:14Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe objective of the study is to evaluate the efficiency of applying filters on ultrasound images in order to increase the success rate of segmentation in the diagnosis of Developmental Dysplasia of the Hip (DDH). This research consists of several steps, in which pure DDH images are formed. Seven different filters (Mean, Median, Gaussian, Wiener, Perona and Malik, Lee and Frost) are applied to the images and finally the output images are evaluated. Initially, a filter is applied to the raw images. To assess the resulting images peak signal to noise ratio (PSNR) and mean square error (MSE) values are used. In the next section of the study, those seven different filters are applied to the raw images and segmentation is carried out and then the results are evaluated. In the DDH diagnosis, the ilium and femoral regions are segmented by using Active Contour Models and Circular Hough Transform methods, respectively. The results of the study show that applying Wiener filter to the iliac region results in 100% success, while the filter also achieves 90% success rate in the femoral region. In conclusion, the examining PSNR and MSE values show that the degree of filter's success varies according to the type of noise contained in the image. When the segmentation process is analyzed, it is observed that the Wiener filters manage to increase the success rate due to their ability to remove speckle noise.en_US
dc.identifier.doi10.1166/jmihi.2016.1722en_US
dc.identifier.endpage457en_US
dc.identifier.issn2156-7018en_US
dc.identifier.issn2156-7026en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage449en_US
dc.identifier.urihttps://dx.doi.org/10.1166/jmihi.2016.1722
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33975
dc.identifier.volume6en_US
dc.identifier.wosWOS:000374145800020en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAMER SCIENTIFIC PUBLISHERSen_US
dc.relation.ispartofJOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectUSGen_US
dc.subjectImage Processingen_US
dc.subjectDDHen_US
dc.subjectFiltersen_US
dc.titleSegmentation of the Ilium and Femur Regions from Ultrasound Images for Diagnosis of Developmental Dysplasia of the Hipen_US
dc.typeArticleen_US

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