On Improving the Acquisition and Reconstruction Of Spatio-Temporal Magnetic Resonance Imaging
Name
Iyer-ssi-PhD-EECS-2022-thesis.pdf
Description
Thesis PDF
Size
37.24 MB
Format
Adobe PDF
Checksum (MD5)
643578b0bff867aa60841c47a6ea0c22
Author(s)
Iyer, Siddharth Srinivasan
Advisor(s)
Setsompop, Kawin
Date Issued
September 2022
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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