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dc.contributor.advisorOnural, Levent
dc.contributor.authorAtalar, Ergin
dc.date.accessioned2016-01-08T20:20:01Z
dc.date.available2016-01-08T20:20:01Z
dc.date.issued1991
dc.identifier.urihttp://hdl.handle.net/11693/18513
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Science of Bilkent Univ., 1991.en_US
dc.descriptionThesis (Ph.D.) -- Bilkent University, 1991.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractIt is shown that the expansion/shrinkage and rotational motions of the body cause phase and amplitude distortions and non-rectangular sampling over the A:-domain. If these distortions are not compensated then the reconstructed image will suffer from ''the motion artifact'. The mathematical relation between motion and motion artifact is given. If the motion of the body is known, it is possible to obtain motion artifact free images. The motion is estimated either by using the information in the acquired data or by direct measurement. These estimates and the relation between motion and artifact are used to compensate the phase and amplitude distortions. Using the non-rectangular samples over the ¿-domain the rectangular samples are obtain by the aid of the singular value decomposition method. And finally, the inverse Fourier transform of these calculated samples gives the motion artifact free image. The proposed method is tested by simulations. For the estimation of the motion, two methods are proposed and tested. The first method is an iterative image reconstruction method. The second one uses the navigator echoes to obtain the amount of motion.en_US
dc.description.statementofresponsibilityAtalar, Erginen_US
dc.format.extentx, 144 leaves, illustrationsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMagnetic Resonance Imagingen_US
dc.subjectMotion Artifact Reduction in MRIen_US
dc.subjectRespiratory Motion Artifacten_US
dc.subject.lccWN185 .A83 1991en_US
dc.subject.lcshMagnetic resonance imaging--Methods.en_US
dc.subject.lcshImage reconstruction--Mathematics.en_US
dc.titleMotion artifact reduction techniques in magnetic resonance imagingen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreePh.D.en_US


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