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
The Russell H. Morgan Department of
Radiology and Radiological Science, The Johns Hopkins
University, Baltimore, MD, United States,
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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