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dc.contributor.authorWowk, Brianen_US
dc.date.accessioned2007-05-15T15:20:20Z
dc.date.available2007-05-15T15:20:20Z
dc.date.issued1997-05-01T00:00:00Zen_US
dc.identifier.urihttp://hdl.handle.net/1993/888
dc.description.abstractFunctional magnetic resonance imaging (fMRI) is a relatively new non-invasive technique for monitoring brain activity with great spatial and temporal precision. Blood-oxygen-level-dependent (BOLD) fMRI operates by detecting localized changes in magnetic field homogeneity that accompany changes in blood oxygenation. However, fMRI studies are prone to artifacts caused by blood flow, variations in NMR signal phase, and patient motion. A new method of MR imaging called partial presaturation (PSAT) was developed that allows fMRI studies to be performed with reduced sensitivity to blood flow. The method is more effective than previous techniques for eliminating blood flow effects. New techniques called k-space phase correction and k-space orthogonalization were developed to remove artifacts caused by unwanted phase variations and intra-image motion during fMRI studies. The methods are easily implemented in post-processing of fMRI data. A simple Fourier-domain image registration algorithm was also developed to correct for inter-image motion. The combination of these techniques significantly improves the sensitivity and specificity of human fMRI experiments.en_US
dc.format.extent7079190 bytes
dc.format.extent184 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleArtifact reduction in functional magnetic resonance imagingen_US
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typedoctoral thesisen_US
dc.degree.disciplinePhysics and Astronomyen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US


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