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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