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Nuclear magnetic relaxation dispersion of murine tissue for development of <i>T</i><sub>1</sub> (<i>R</i><sub>1</sub>) dispersion contrast imaging
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Citations
41
References
2017
Year
This study quantified the spin-lattice relaxation rate (R<sub>1</sub> ) dispersion of murine tissues from 0.24 mT to 3 T. A combination of ex vivo and in vivo spin-lattice relaxation rate measurements were acquired for murine tissue. Selected brain, liver, kidney, muscle, and fat tissues were excised and R<sub>1</sub> dispersion profiles were acquired from 0.24 mT to 1.0 T at 37 °C, using a fast field-cycling MR (FFC-MR) relaxometer. In vivo R<sub>1</sub> dispersion profiles of mice were acquired from 1.26 T to 1.74 T at 37 °C, using FFC-MRI on a 1.5 T scanner outfitted with a field-cycling insert electromagnet to dynamically control B<sub>0</sub> prior to imaging. Images at five field strengths (1.26, 1.39, 1.5, 1.61, 1.74 T) were acquired using a field-cycling pulse sequence, where B<sub>0</sub> was modulated for varying relaxation durations prior to imaging. R<sub>1</sub> maps and R<sub>1</sub> dispersion (ΔR<sub>1</sub> /ΔB<sub>0</sub> ) were calculated at 1.5 T on a pixel-by-pixel basis. In addition, in vivo R<sub>1</sub> maps of mice were acquired at 3 T. At fields less than 1 T, a large R<sub>1</sub> magnetic field dependence was observed for tissues. ROI analysis of the tissues showed little relaxation dispersion for magnetic fields from 1.26 T to 3 T. Our tissue measurements show strong R<sub>1</sub> dispersion at field strengths less than 1 T and limited R<sub>1</sub> dispersion at field strengths greater than 1 T. These findings emphasize the inherent weak R<sub>1</sub> magnetic field dependence of healthy tissues at clinical field strengths. This characteristic of tissues can be exploited by a combination of FFC-MRI and T<sub>1</sub> contrast agents that exhibit strong relaxivity magnetic field dependences (inherent or by binding to a protein), thereby increasing the agents' specificity and sensitivity. This development can provide potential insights into protein-based biomarkers using FFC-MRI to assess early changes in tumour development, which are not easily measureable with conventional MRI.
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