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Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
Published on: December 30, 2016
Dynamic nuclear polarization and optimal control spatial-selective 13C MRI and MRS
Mads S Vinding1, Christoffer Laustsen, Ivan I Maximov
1Center for Insoluble Protein Structures, Interdisciplinary Nanoscience Center, Department of Chemistry, Aarhus University, Denmark.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|January 10, 2013
Summary
Dynamic nuclear polarization (DNP) enhances metabolic magnetic resonance imaging (MRI) and spectroscopy (MRS) by combining spatial selection with hyperpolarized [1-(13)C]pyruvate for improved sensitivity and spatial resolution.
Area of Science:
- Medical Imaging
- Spectroscopy
- Metabolic Imaging
Background:
- Dynamic nuclear polarization (DNP) significantly enhances signal in magnetic resonance imaging (MRI) and spectroscopy (MRS).
- Precise spatial localization is crucial for targeted metabolic analysis in preclinical research.
Purpose of the Study:
- To combine DNP with optimal control-based 2D spatial selection for high-sensitivity metabolic MRI and MRS.
- To develop a method for obtaining well-defined spatial restriction of hyperpolarized metabolite signals.
Main Methods:
- Development of spatial-selective single-shot spiral-readout MRI and MRS experiments.
- Utilized dynamic nuclear polarization (DNP) with hyperpolarized [1-(13)C]pyruvate on a 4.7 T scanner.
- Designed 2D spatial-selective radiofrequency pulses using a novel Krotov-based optimal control approach.
Main Results:
- Simultaneous achievement of high sensitivity and well-defined spatial restriction.
- Facilitation of anatomically shaped region-of-interest (ROI) single metabolite signals.
- Enabling higher image resolution or single-peak spectra for metabolic analysis.
Conclusions:
- The combined DNP and optimal control spatial selection technique offers a powerful tool for metabolic MRI/MRS.
- This method holds potential for early disease detection, monitoring disease progression, and drug research through precise metabolic analysis.
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