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In silico optimization of iopamidol CEST MRI for renal pH mapping at 3 Tesla


Zaiss,  M       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Stabinska, J., Zaiss, M., Bibic, A., Sedaghat, F., Sadowsky, C., van Zijl, P., et al. (2023). In silico optimization of iopamidol CEST MRI for renal pH mapping at 3 Tesla. Poster presented at 2023 ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM 2023), Toronto, Canada.

Cite as: https://hdl.handle.net/21.11116/0000-000D-35AE-4
In vivo optimization of CEST iopamidol contrast in human subjects is complicated and requires multiple examinations and injections of the agent. To address this challenge, we propose application of a numerical approach that utilizes exchange rates determined under physiological conditions at 17.6T to perform kidney-like multi-pool Bloch-McConnell simulations for in silico optimization of saturation parameters for 3T applications. Our results suggest that the iopamidol-based CEST MRI is sensitive to pH in the range between 6 and 7.2 with the optimal results when short CEST saturation pulses (3x100 ms), low B1 strength (B1~0.8 µT) and short recovery time (Trec~T1w) are applied.