Abstract #2991

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

Julia Stabinska^1,2, Moritz Zaiss^3,4, Adnan Bibic¹, Farzad Sedaghat², Cristina L Sadowsky^5,6, Peter CM van Zijl^1,2, and Michael T McMahon^1,2

¹F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ²The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, ⁴Institute of Neuroradiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany, ⁵International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, United States, ⁶Physical Medicine and Rehabilitation, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

Synopsis

Keywords: CEST & MT, CEST & MTIn 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 (T_rec~T_1w) are applied.

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