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Abstract #1753

A Multi-parametric Multi-echo Saturation (MMS) method enabling CEST fingerprinting

Xiaolei Song 1,2 , Xiaowei He 1 , Jiadi Xu 1,2 , Nikita Oskolkov 1 , Nirbhy Yadav 1,2 , Peter C.M. van Zijl 1 , and Michael T. McMahon 1

1 The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD, United States, 2 F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

CEST contrast varies as a function of saturation power (B1) and length (tsat), offering the opportunities for creating the CEST fingerprint for various agents. We proposed a Multi-parametric Multi-echo Saturation (MMS) method, enabling the acquisition of multiple readouts with alternating B1. This so-called hybrid meLOVARS method generates both B1 and tsat dependent profiles, with the goal of improving specificity to exchange rate. This sequence enabled fast acquisition of multi-parametric saturation-weighted images, and allowed separation of different pH solutions according to their specific saturation-modulation patterns. It also has potentials in vivo for modulating different saturation contrasts and increase the specificity.

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