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Besides structural information, magnetic resonance imaging (MRI) is crucial to reveal the presence and gradients of metabolites in organs constituted of several tissues. In plant science, such knowledge is key to better understand fruit development and metabolism. Routine methods based on fixation for cytological studies or dissection for metabolite measurements induce biases and plant sample destruction. Magnetic resonance spectroscopy imaging (MSRI) leads to one NMR spectrum per pixel while chemical exchange saturation transfer (CEST) MRI allows mapping metabolites having exchangeable protons. As both methods present different advantages and drawbacks, we compared them to map metabolites in ripe tomato fruits. We demonstrated that MRSI was difficult to interpret due to large spatial chemical shift variations while CEST MRI produced promising image mapping of the main carbohydrates and amino acids. It showed that glucose/fructose was mostly located in the locular tissue, whereas glutamate/glutamine/GABA was found inside the columella.Graphical abstract.
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http://dx.doi.org/10.1007/s00216-020-03101-w | DOI Listing |
Chemistry
September 2025
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
Nucleic acid-based therapeutics, such as oncolytic virotherapy or gene therapy, would benefit greatly from a reporter gene that induces endogenous production of a protein biomarker to noninvasively track the delivery, persistence, and spread with imaging. Several chemical exchange saturation transfer (CEST) reporter proteins detectable by magnetic resonance imaging (MRI) have been demonstrated to have high sensitivity. However, to date none can provide strong CEST contrast at a distinct resonance from that of endogenous proteins, limiting their specificity.
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September 2025
Physikalisch-Technische Bundesanstalt (PTB), Berlin and Braunschweig, Germany.
Unlabelled: A novel steady-state CEST sequence design, based on the underlying physical model of longitudinal magnetization development during CEST saturation and data acquisition is presented and validated in-silico, in vitro and in vivo. This design ensures consistent data acquisition in the pure CEST steady-state, leading to high MTR scores and image quality, both in vitro and in vivo, when compared to contemporary sequential and steady-state CEST sequences.
Purpose: The aim of this study was to enhance CEST sequences by utilizing the pure CEST steady-state in order to deliver higher CEST effects and better sensitivity.
IEEE Access
May 2025
Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE 68182, USA.
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is an emerging non-invasive molecular imaging technique offering significant potential for biomedical research and clinical applications. However, CEST MRI data acquisition requires prolonged scanning times, as data need to be collected at multiple frequency offsets to capture necessary information for accurate analysis of biological compounds. Faster CEST MRI will improve molecular imaging, advancing biomedical pre-clinical research studies and clinical applications.
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August 2025
Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Purpose: EPI is a fast acquisition sequence, but suffers from geometric distortion because of B field inhomogeneity. This study aims to evaluate the effectiveness of using ΔB map generated from single-shot CEST-EPI to achieve distortion self-correction (DISC).
Methods: CEST MRI usually requires B correction during postprocessing, and the ΔB map can be calculated directly from Z-spectra without extra scan.
NMR Biomed
September 2025
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
To assess lower back pain using quantitative chemical exchange saturation transfer (qCEST) imaging in a porcine model by comparing exchange rate maps obtained from multitasking qCEST with conventional qCEST. Use a permuted random forest (PRF) model trained on CEST-derived magnetization transfer ratio (MTR) and exchange rate (k) features to predict Glasgow pain scores. Six Yucatan minipigs were scanned at baseline and at four post-injury time points (weeks 4, 8, 12, and 16) following intervertebral disc injury.
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