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Ntziachristos, V. ; Pleitez, M.A. ; Aime, S.* ; Brindle, K.M.*

Emerging technologies to image tissue metabolism.

Cell Metab. 29, 518-538 (2019)
Verlagsversion Postprint DOI PMC
Open Access Green
Due to the implication of altered metabolism in a large spectrum of tissue function and disease, assessment of metabolic processes becomes essential in managing health. In this regard, imaging can play a critical role in allowing observation of biochemical and physiological processes. Nuclear imaging methods, in particular positron emission tomography, have been widely employed for imaging metabolism but are mainly limited by the use of ionizing radiation and the sensing of only one parameter at each scanning session. Observations in healthy individuals or longitudinal studies of disease could markedly benefit from non-ionizing, multi-parameter imaging methods. We therefore focus this review on progress with the non-ionizing radiation methods of MRI, hyperpolarized magnetic resonance and magnetic resonance spectroscopy, chemical exchange saturation transfer, and emerging optoacoustic (photoacoustic) imaging. We also briefly discuss the role of nuclear and optical imaging methods for research and clinical protocols.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Cest ; Mri ; Pet ; Blood Oxygenation ; Brown Adipose Tissue ; Diabetes ; Lipid ; Optoacoustic ; Photoacoustic ; Ultrasound; Mri Contrast Agent; Multispectral Optoacoustic Tomography; Hyperpolarized Magnetic-resonance; Parahydrogen Induced Polarization; Dynamic Nuclear-polarization; In-vivo; Glucose-uptake; Treatment Response; Tumor Response; Live Cells
Sprache englisch
Veröffentlichungsjahr 2019
Prepublished im Jahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 1550-4131
e-ISSN 1932-7420
Zeitschrift Cell Metabolism
Quellenangaben Band: 29, Heft: 3, Seiten: 518-538 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort 50 Hampshire St, Floor 5, Cambridge, Ma 02139 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505500-001
DOI 10.1016/j.cmet.2018.09.004
WOS ID WOS:000460276900004
PubMed ID 30269982
Erfassungsdatum 2018-10-19
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