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Advanced parallel magnetic resonance imaging methods with applications to MR spectroscopic imaging

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/3610

Advanced parallel magnetic resonance imaging methods with applications to MR spectroscopic imaging

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dc.contributor.author Otazo, Ricardo
dc.date.accessioned 2008-02-07T18:35:04Z
dc.date.available 2008-02-07T18:35:04Z
dc.date.issued 2008-02-07T18:35:04Z
dc.date.submitted December 2007
dc.identifier.uri http://hdl.handle.net/1928/3610
dc.description.abstract Parallel magnetic resonance imaging offers a framework for acceleration of conventional MRI encoding using an array of receiver coils with spatially-varying sensitivities. Novel encoding and reconstruction techniques for parallel MRI are investigated in this dissertation. The main goal is to improve the actual reconstruction methods and to develop new approaches for massively parallel MRI systems that take advantage of the higher information content provided by the large number of small receivers. A generalized forward model and inverse reconstruction with regularization for parallel MRI with arbitrary k-space sub-sampling is developed. Regularization methods using the singular value decomposition of the encoding matrix and pre-conditioning of the forward model are proposed to desensitize the solution from data noise and model errors. Variable density k-space sub-sampling is presented to improve the reconstruction with the common uniform sub-sampling. A novel method for massively parallel MRI systems named Superresolution Sensitivity Encoding (SURE-SENSE) is proposed where acceleration is performed by acquiring the low spatial resolution representation of the object being imaged and the stronger sensitivity variation from small receiver coils is used to perform intra-pixel reconstruction. SURE-SENSE compares favorably the performance of standard SENSE reconstruction for low spatial resolution imaging such as spectroscopic imaging. The methods developed in this dissertation are applied to Proton Echo Planar Spectroscopic Imaging (PEPSI) for metabolic imaging in human brain with high spatial and spectral resolution in clinically feasible acquisition times. The contributions presented in this dissertation are expected to provide methods that substantially enhance the utility of parallel MRI for clinical research and to offer a framework for fast MRSI of human brain with high spatial and spectral resolution. en_US
dc.description.sponsorship National Institutes of Health Grants R01 HD040712, R01 NS037462, R01 EB000790-04, P41 RR14075, R01 EB002618-01, the Mental Illness and Neuroscience Discovery Institute (MIND), and the Ibero-American Science and Technology Education Consortium (ISTEC). en
dc.format.extent 4537334 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.subject magnetic resonance imaging en_US
dc.subject parallel imaging en_US
dc.subject inverse reconstruction en_US
dc.subject superresolution en_US
dc.subject.lcsh Brain--Magnetic resonance imaging
dc.subject.lcsh Magnetic resonance imaging.
dc.subject.lcsh Spectroscopic imaging.
dc.subject.lcsh Magnetic resonance imaging.
dc.title Advanced parallel magnetic resonance imaging methods with applications to MR spectroscopic imaging en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Electrical Engineering en
dc.description.level Doctoral en
dc.description.department University of New Mexico. Dept. of Electrical and Computer Engineering en
dc.description.advisor Posse, Stefan
dc.description.advisor Jordan, Ramiro
dc.description.committee-member Pattichis, Marios
dc.description.committee-member Caprihan, Arvind


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