On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging
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 t...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147548 |
| _version_ | 1811094954943971328 |
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| author | Iyer, Siddharth Srinivasan |
| author2 | Setsompop, Kawin |
| author_facet | Setsompop, Kawin Iyer, Siddharth Srinivasan |
| author_sort | Iyer, Siddharth Srinivasan |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:08:11Z |
| format | Thesis |
| id | mit-1721.1/147548 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:08:11Z |
| publishDate | 2023 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1475482023-01-20T03:04:47Z On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging Iyer, Siddharth Srinivasan Setsompop, Kawin Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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. Ph.D. 2023-01-19T19:57:45Z 2023-01-19T19:57:45Z 2022-09 2022-10-19T19:08:34.803Z Thesis https://hdl.handle.net/1721.1/147548 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Iyer, Siddharth Srinivasan On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title_full | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title_fullStr | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title_full_unstemmed | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title_short | On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging |
| title_sort | on improving the acquisition and reconstruction of spatio temporal magnetic resonance imaging |
| url | https://hdl.handle.net/1721.1/147548 |
| work_keys_str_mv | AT iyersiddharthsrinivasan onimprovingtheacquisitionandreconstructionofspatiotemporalmagneticresonanceimaging |