A New Model to Determine Asymmetry Coefficients on MR Images using PSNR and SSIM

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dc.contributor.authorOzic, Muhammet Usame
dc.contributor.authorOzsen, Seral
dc.date.accessioned2020-03-26T19:33:32Z
dc.date.available2020-03-26T19:33:32Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractThe human brain consists of two hemispheres, right and left. These two hemispheres are almost symmetrical, not perfectly. However, in neurological diseases, the volumetric losses in the brain begin to deteriorate asymmetrically between the two hemispheres. This deterioration can be local or global in the brain. Symmetry deterioration can be a biomarker in the early stage diagnosis and the following of neurological diseases. However, it has been stated that the analysis of asymmetry in the brain by numerical methods is problematic. In this study, a new approach is proposed to analyze the brain symmetry deterioration numerically. In order to perform asymmetry analysis in MR images, two hemispheres must be separated from each other by finding the midsagittal plane which are known symmetry axis. The PSNR and SSIM coefficients are often used for quality measurements between two images. In the study, these coefficients were tested for asymmetry measurement. Statistical analysis was performed by determining PSNR-SSIM coefficients between 70 Control and 70 Alzheimer Disease MR images from the OASIS database. It was determined that the use of PSNR and SSIM coefficients in the asymmetry analysis of MR images gave meaningful results.en_US
dc.description.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34736
dc.identifier.wosWOS:000426868700041en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAsymmetryen_US
dc.subjectAlzheimeren_US
dc.subjectMRen_US
dc.subjectPSNRen_US
dc.subjectSSIMen_US
dc.titleA New Model to Determine Asymmetry Coefficients on MR Images using PSNR and SSIMen_US
dc.typeConference Objecten_US

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