Abstract #0303

Multi-echo Parametric VARiation Saturation (MePaVARS) enabling more specific endogeneous CEST imaging

Xiaolei Song^1,2, Yan Bai^1,3, Meiyun Wang³, and Michael T. McMahon^1,2

¹The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ³Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, People's Republic of

Existing CEST methodologies have difficulties in discriminating agents with small difference in chemical shift. As CEST signal is very sensitive to saturation power (B₁) and length (t_sat), indicating a second route to indentify agents by modulating the saturation conditions. We utilized the Multi-echo Parametric VARiation Saturation (MePaVARS), to separate faster and slower exchanging endogeneous CEST metabolites and molecules according to their differences response to B₁. In simulations and phantoms, MePaVARS allowed extraction of faster-exchanging Glutamate from the slower-exchanging Creatine, based on its oscillation patterns. A preliminary study for mice bearing prostate tumor further validated the feasibility of MePaVARS in vivo.

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