Optimizing SNR for multi-metabolite hyperpolarized carbon-13 MRI using a hybrid flip-angle scheme
| Autor: | Trevor Wade, Leigh K. Smith, Charles A. McKenzie, Lanette J. Friesen-Waldner |
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| Rok vydání: | 2019 |
| Předmět: |
hyperpolarized MRI
Materials science Metabolite Multispectral image Guinea Pigs pyruvate Hyperpolarized carbon-13 MRI 030218 nuclear medicine & medical imaging 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Nuclear magnetic resonance Flip angle In vivo Pregnancy carbon-13 RF pulse design Pyruvic Acid Image acquisition Animals Radiology Nuclear Medicine and imaging Carbon Isotopes Pulse (signal processing) Note Magnetic Resonance Imaging chemistry Liver Notes—Imaging Methodology carbon‐13 Female metabolism 030217 neurology & neurosurgery Excitation Algorithms |
| Zdroj: | Magnetic Resonance in Medicine Paediatrics Publications |
| ISSN: | 1522-2594 |
| Popis: | Purpose To improve the SNR of hyperpolarized carbon-13 MRI of [1-13 C]pyruvate using a multispectral variable flip angle (msVFA) scheme in which the spectral profile and flip angle vary dynamically with time. Methods Each image acquisition in a time-resolved imaging experiment used a unique spectrally varying RF pulse shape for msVFA. Therefore, the flip angle for every acquisition was optimized for pyruvate and each of its metabolites to yield the highest SNR across the acquisition. Multispectral VFA was compared with a spectrally varying constant flip-angle excitation model through simulations and in vivo. A modified broadband chemical shift-encoded gradient-echo sequence was used for in vivo experiments on six pregnant guinea pigs. Regions of interest placed in the placentae, maternal liver, and maternal kidneys were used as areas for SNR measurement. Results In vivo experiments showed significant increases in SNR for msVFA relative to constant flip angle of up to 250% for multiple metabolites. Conclusion Hyperpolarized carbon-13 imaging with msVFA excitation produces improved SNR for all metabolites in organs of interest. |
| Databáze: | OpenAIRE |
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