T-test Feature Ranking Based 3D MR Classification with VBM Mask

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dc.contributor.authorOzic, Muhammet Usame
dc.contributor.authorOzsen, Seral
dc.date.accessioned2020-03-26T19:43:19Z
dc.date.available2020-03-26T19:43:19Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.description.abstractThe monitoring of volumetric changes in the brain during neurological diseases is done with three dimensional structural MR images. Numerical methods are needed to evaluate the volumetric difference between healthy and diseased MR image groups. Voxel based morphometry is a numerical method used to perform inter-group and intra-group analysis of MR images. With this method, the volume differences between the groups can be analyzed in the coordinate dimension. In this study, volumetric differences between Alzheimer and Normal MR images were investigated by voxel based morphometry. From these differences, three dimensional volume loss masks of groups were obtained. The mask of loss was masked with the gray matter area where the basic volume losses of Alzheimer's begin. In each gray matter image, the voxel values corresponding to the same coordinates as the loss mask were transformed into a vector. The voxel values corresponding to the same point as the loss point were ranked by t-test and the most significant coordinate values were ranked. After this ranking, classification was done with support vector machines using voxel values. As a result of this model, the number of voxel coordinates giving the best classification was determined and the performance of the method was measured.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35649
dc.identifier.wosWOS:000413813100454en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAlzheimeren_US
dc.subjectVolume Lossen_US
dc.subjectT-testen_US
dc.subjectFeature Rankingen_US
dc.subjectVoxel Based Morphometryen_US
dc.titleT-test Feature Ranking Based 3D MR Classification with VBM Masken_US
dc.typeConference Objecten_US

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