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dc.contributor.authorLangley, Jason Allen
dc.date.accessioned2014-03-04T19:59:43Z
dc.date.available2014-03-04T19:59:43Z
dc.date.issued2011-05
dc.identifier.otherlangley_jason_a_201105_phd
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/langley_jason_a_201105_phd
dc.identifier.urihttp://hdl.handle.net/10724/27201
dc.description.abstractImages acquired from magnetic resonance imaging scanners take complex values. The images can be broken into two distinct types of images: magnitude images and phase maps. Magnitude images display structural information while phase maps are sensitive to magnetic field inhomogeneities and changes in temperature. However, phase maps are discontinuous and a process known as phase unwrapping is needed to remove the discontinuities in the phase map. In this work, a new two dimensional phase unwrapping algorithm is proposed and results from the proposed algorithm are compared with standard phase unwrapping algorithms. Extensions to the proposed phase unwrapping algorithm are then considered, the proposed two-dimensional phase unwrapping algorithm is modified and a new thermometry algorithm is presented. Finally, the quantification of contrast agents based on superparamag- netic iron oxide (SPIO) nanoparticles is discussed and a new SPIO quantification algorithm is proposed.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectMagnetic Resonance Imaging
dc.subjectDiffusion Tensor Imaging
dc.subjectPhase Unwrapping
dc.subjectPositive Contrast
dc.subjectSPIO Quantification
dc.subjectMolecular Imaging
dc.titleEstimation of the phase gradient in MIR
dc.title.alternativefrom phase unwrapping to characterization of magnetic field maps
dc.typeDissertation
dc.description.degreePhD
dc.description.departmentPhysics and Astronomy
dc.description.majorPhysics
dc.description.advisorQun Zhao
dc.description.committeeQun Zhao
dc.description.committeeUwe Happek
dc.description.committeeMark A. Haidekker
dc.description.committeeWilliam Dennis


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