| Literature DB >> 34298353 |
Peter C M van Zijl1, Kevin Brindle2, Hanzhang Lu3, Peter B Barker3, Richard Edden3, Nirbhay Yadav3, Linda Knutsson4.
Abstract
Access to metabolic information in vivo using magnetic resonance (MR) technologies has generally been the niche of MR spectroscopy (MRS) and spectroscopic imaging (MRSI). Metabolic fluxes can be studied using the infusion of substrates labeled with magnetic isotopes, with the use of hyperpolarization especially powerful. Unfortunately, these promising methods are not yet accepted clinically, where fast, simple, and reliable measurement and diagnosis are key. Recent advances in functional MRI and chemical exchange saturation transfer (CEST) MRI allow the use of water imaging to study oxygen metabolism and tissue metabolite levels. These, together with the use of novel data analysis approaches such as machine learning for all of these metabolic MR approaches, are increasing the likelihood of their clinical translation.Entities:
Keywords: CEST; CMRO2; Deep learning.; Hyperpolarization; Imaging; Metabolism; Metabolite; Spectroscopy
Mesh:
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Year: 2021 PMID: 34298353 PMCID: PMC8384704 DOI: 10.1016/j.cbpa.2021.06.003
Source DB: PubMed Journal: Curr Opin Chem Biol ISSN: 1367-5931 Impact factor: 8.972