Simultaneous multi-slice magnetic resonance imaging
Abstract/Contents
- Abstract
- The slow acquisition speed of magnetic resonance imaging (MRI) hinders its wider adoption as a diagnostic and research tool. In recent years, simultaneous multi-slice (SMS) MRI has been proposed to accelerate MRI scans. The main focus of this dissertation is to develop a generic and accurate data reconstruction framework, termed hybrid-space SENSE, for SMS MRI. To evaluate the signal-to-noise ratio (SNR) loss in the reconstruction, analytical geometry-factor maps are derived. Under the proposed framework, a matrix-decoding Nyquist ghosting correction method is further developed to conduct slice-specific Nyquist ghosting correction for SMS echo planar imaging. This dissertation also presents work on three other aspects of SMS MRI: one is designing undersampling strategies that generate incoherent interslice aliasing; another is de-signing autocalibrating undersampling schemes; the third aspect is designing signal excitation radiofrequency (RF) pulse with reduced peak amplitude.
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 | Zhu, Kangrong | |
|---|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. | |
| Primary advisor | Pauly, John (John M.) | |
| Thesis advisor | Pauly, John (John M.) | |
| Thesis advisor | Kerr, Adam Bruce, 1965- | |
| Thesis advisor | Nishimura, Dwight George | |
| Advisor | Kerr, Adam Bruce, 1965- | |
| Advisor | Nishimura, Dwight George |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Kangrong Zhu. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Kangrong Zhu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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