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High‐Field Detection of Biomarkers with Fast Field‐Cycling MRI: The Example of Zinc Sensing
Author(s) -
Bödenler Markus,
Malikidogo Kyangwi P.,
Morfin JeanFrançois,
Aigner Christoph Stefan,
Tóth Éva,
Bonnet Célia S.,
Scharfetter Hermann
Publication year - 2019
Publication title -
chemistry – a european journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.687
H-Index - 242
eISSN - 1521-3765
pISSN - 0947-6539
DOI - 10.1002/chem.201901157
Subject(s) - magnetic resonance imaging , biomarker , magnetic field , signal (programming language) , physics of magnetic resonance imaging , field (mathematics) , nuclear magnetic resonance , rotational correlation time , imaging biomarker , chemistry , materials science , relaxometry , physics , computer science , spin echo , radiology , electron paramagnetic resonance , medicine , mathematics , quantum mechanics , pure mathematics , programming language , biochemistry
Many smart magnetic resonance imaging (MRI) probes provide response to a biomarker based on modulation of their rotational correlation time. The magnitude of such MRI signal changes is highly dependent on the magnetic field and the response decreases dramatically at high fields (>2 T). To overcome the loss of efficiency of responsive probes at high field, with fast‐field cycling magnetic resonance imaging (FFC‐MRI) we exploit field‐dependent information rather than the absolute difference in the relaxation rate measured in the absence and in the presence of the biomarker at a given imaging field. We report here the application of fast field‐cycling techniques combined with the use of a molecular probe for the detection of Zn 2+ to achieve 166 % MRI signal enhancement at 3 T, whereas the same agent provides no detectable response using conventional MRI. This approach can be generalized to any biomarker provided the detection is based on variation of the rotational motion of the probe.