Methods for high-resolution functional MRI
Abstract/Contents
- Abstract
- The resolution of an fMRI acquisition is determined not only by the spatial resolution of the images but also the functional resolution of the underlying contrast mechanism. The former is determined by the extent of k-space sampled, with higher resolutions typically requiring longer readouts, while the latter depends on the type of sequence used (among other factors), and places an upper limit on the functional resolution achievable by the rest of the acquisition. Obtaining higher spatial resolution and utilizing alternative contrast mechanisms pose challenges for functional MRI for various reasons. In this thesis, we present a few projects which address these challenges. In the first project, we performed spin-echo fMRI at a high field strength (7T) as an alternative to conventional gradient-echo fMRI to leverage its greater spatial and functional specificity, using an adiabatic refocusing pulse and phase-precompensated excitation pulse to address B1 inhomogeneity concerns. In the second project, we developed a method to perform simultaneous brain and spinal cord fMRI, using dynamic shimming and reduced field-of-view imaging to address B0 inhomogeneity concerns. In the third project, we extended a method that utilizes the Z2 higher-order gradient and a spatial-spectral RF pulse to excite a fully localized region, and used it to perform a high-resolution reduced FOV fMRI experiment.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Islam, Haisam |
|---|---|
| Associated with | Stanford University, Department of Bioengineering. |
| Primary advisor | Glover, Gary H |
| Thesis advisor | Glover, Gary H |
| Thesis advisor | Hargreaves, Brian Andrew |
| Thesis advisor | Pauly, John (John M.) |
| Advisor | Hargreaves, Brian Andrew |
| Advisor | Pauly, John (John M.) |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Haisam Islam. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Haisam Mohammad Islam
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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