This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/32529 in citations.
Please use the identifier: http://dx.doi.org/10.1002/jmri.28029 in citations.
Compressed Sensing in Sodium Magnetic Resonance Imaging: Techniques, Applications, and Future Prospects
Compressed Sensing in Sodium Magnetic Resonance Imaging: Techniques, Applications, and Future Prospects
Sodium (23Na) yields the second strongest nuclear magnetic resonance (NMR) signal in biological tissues and plays a vital role in cell physiology. Sodium magnetic resonance imaging (MRI) can provide insights into cell integrity and tissue viability relative to pathologies without significant anatomi...
Saved in:
Personal Name(s): | Chen, Qingping |
---|---|
Shah, N. Jon / Worthoff, Wieland A. (Corresponding author) | |
Contributing Institute: |
Physik der Medizinischen Bildgebung; INM-4 |
Published in: | Journal of magnetic resonance imaging, 55 (2022) 5, S. 1340-1356 |
Imprint: |
New York, NY
Wiley-Liss
2022
|
DOI: |
10.1002/jmri.28029 |
Document Type: |
Journal Article |
Research Program: |
Neuroimaging |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1002/jmri.28029 in citations.
Sodium (23Na) yields the second strongest nuclear magnetic resonance (NMR) signal in biological tissues and plays a vital role in cell physiology. Sodium magnetic resonance imaging (MRI) can provide insights into cell integrity and tissue viability relative to pathologies without significant anatomical alternations, and thus it is considered to be a potential surrogate biomarker that provides complementary information for standard hydrogen (1H) MRI in a noninvasive and quantitative manner. However, sodium MRI suffers from a relatively low signal-to-noise ratio and long acquisition times due to its relatively low NMR sensitivity. Compressed sensing-based (CS-based) methods have been shown to accelerate sodium imaging and/or improve sodium image quality significantly. In this manuscript, the basic concepts of CS and how CS might be applied to improve sodium MRI are described, and the historical milestones of CS-based sodium MRI are briefly presented. Representative advanced techniques and evaluation methods are discussed in detail, followed by an expose of clinical applications in multiple anatomical regions and diseases as well as thoughts and suggestions on potential future research prospects of CS in sodium MRI. |