dc.contributor.advisor | Setsompop, Kawin | |
dc.contributor.author | Iyer, Siddharth Srinivasan | |
dc.date.accessioned | 2023-01-19T19:57:45Z | |
dc.date.available | 2023-01-19T19:57:45Z | |
dc.date.issued | 2022-09 | |
dc.date.submitted | 2022-10-19T19:08:34.803Z | |
dc.identifier.uri | https://hdl.handle.net/1721.1/147548 | |
dc.description.abstract | Magnetic 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.publisher | Massachusetts Institute of Technology | |
dc.rights | In Copyright - Educational Use Permitted | |
dc.rights | Copyright retained by author(s) | |
dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
dc.title | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging | |
dc.type | Thesis | |
dc.description.degree | Ph.D. | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
mit.thesis.degree | Doctoral | |
thesis.degree.name | Doctor of Philosophy | |