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CEST MRI

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Quantification of Biophysical Parameters in Medical Imaging

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Abstract

Magnetic resonance imaging (MRI) with indirect detection through chemical exchange saturation transfer (CEST) offers unique features for quantitative imaging as many biophysical and biochemical tissue parameters are linked to exchange-coupled magnetisation pools. The CEST approach also greatly improves the sensitivity of MRI and represents an emerging technique in diagnostic imaging. It uses an induced signal loss in an abundant spin pool to capture information from a dilute spin pool through an actively driven saturation transfer process and achieves much better signal than direct readout of the magnetisation from the low concentration analyte. This chapter provides an introduction into the concepts of CEST and its recent developments considering an extended library of agents, quantitative evaluation for contributing physico-chemical parameters, and advanced encoding techniques. CEST applications nowadays rely on endogenous and synthetic agents that are both discussed here. The inclusion of spin hyperpolarisation as another signal amplification concept illustrates special features that come with the increased dynamic range and extended timescale that magnetisation from hyperpolarised nuclei provide.

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Acknowledgements

Part of this work has been supported by the Human Frontiers Science Program (MK funded through programme grant no. RGP0050/2016) and a Koselleck Grant of the German Research Foundation (SCHR 995-1/1 to LS).

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  1. Molecular Imaging, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany

    Martin Kunth & Leif Schröder

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Correspondence to Leif Schröder .

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  1. Department of Radiology, Humboldt University of Berlin Charité University Hospital, Berlin, Germany

    Ingolf Sack

  2. Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt , Berlin, Germany

    Tobias Schaeffter

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Kunth, M., Schröder, L. (2018). CEST MRI. In: Sack, I., Schaeffter, T. (eds) Quantification of Biophysical Parameters in Medical Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-65924-4_10

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