Titlebook: Dynamic Hyperpolarized Nuclear Magnetic Resonance; Thomas Jue,Dirk Mayer Book 2021 Springer Nature Switzerland AG 2021 chemical shift imag

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Book 2021ng of Enzymatic Reactions in Analyzing Hyperpolarized NMR Data.Using Hyperpolarized NMR to Understand Biochemistry from Cells to Humans  .Innovating Metabolic Biomarkers for Hyperpolarized NMR  .New Insights into Metabolic Regulation from Hyperpolarized .13.C MRS/MRI Studies .Novel Views on Heart Fu

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Design Considerations for Implementing a Hyperpolarizer,d to precondition the molecules via low-temperature dynamic nuclear polarization (DNP) for them to reach a state with highly polarized nuclear spins. This chapter aims to introduce concepts needed to understand how to determine the optimal conditions of field and temperature in order to obtain hyper

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Metabolic Imaging with Dynamic Hyperpolarized NMR,n particular when combined with imaging. At the same time the nonrecoverable nature of the magnetization poses challenges on the data acquisition. This chapter describes the basic concepts of encoding the spatial information in magnetic resonance imaging and chemical shift imaging and then presents

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Using Hyperpolarized NMR to Understand Biochemistry from Cells to Humans,ion to patient studies, with an emphasis on the preclinical platforms and techniques necessary to achieve this goal. The chapter starts with a description of nuclear magnetic resonance (NMR) spectroscopic and biochemical techniques used for studying metabolism in human cells and tissues in order to

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Innovating Metabolic Biomarkers for Hyperpolarized NMR,reatment options and monitor response to treatment. Magnetic resonance spectroscopy or spectroscopic imaging (MRSI) of hyperpolarized .C-labelled cell substrates can be used to measure real-time metabolic flux in relatively rapid reactions in vivo, which is not possible with any other imaging techni

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Novel Views on Heart Function from Dynamic Hyperpolarized NMR,the mitochondria, from fuels such as fatty acids and glucose. Many cardiac pathologies, such as heart failure, hypertrophy and diabetic cardiomyopathy, are associated with changes in cardiac metabolism. Historically, however, metabolic fluxes have been impossible to assess in vivo in real time. Hype