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dc.contributor.advisorSetsompop, Kawin
dc.contributor.authorIyer, Siddharth Srinivasan
dc.date.accessioned2023-01-19T19:57:45Z
dc.date.available2023-01-19T19:57:45Z
dc.date.issued2022-09
dc.date.submitted2022-10-19T19:08:34.803Z
dc.identifier.urihttps://hdl.handle.net/1721.1/147548
dc.description.abstractMagnetic Resonance Imaging (MRI) is a non-invasive but slow imaging modality that provides unparalleled flexibility in acquiring multiple forms of soft-tissue contrast. Recently, there has been a lot of interest in mapping the inherent magnetization properties of the underlying human tissue and in temporally resolving the acquired data. Broadly classified as spatio-temporal MRI, these methods yield unprecedented details of the human anatomy and function, improving clinical diagnostic performance and prognosis. However, such methods are inherently high-dimensional, resulting in encoding-intensive data acquisition processes and computationally-intensive reconstructions. This begets long acquisition and reconstruction times, making such methods difficult to integrate into clinical workflows. This thesis aims to improve the acquisition and reconstruction times of spatio-temporal MRI to enable its use in clinical and neuroscientific setting.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleOn Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging
dc.typeThesis
dc.description.degreePh.D.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeDoctoral
thesis.degree.nameDoctor of Philosophy


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