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Abstract #0343

High-resolution phosphocreatine mapping using artificial neural network-based CEST MRI at 3T: A validation study

Lin Chen1,2, Michael Schär1,3, Kannie W.Y. Chan1,2,4, Jianpan Huang4, Zhiliang Wei1,2, Hanzhang Lu1,2, Qin Qin1,2, Robert G. Weiss1,3, Peter C.M. van Zijl1,2, and Jiadi Xu1,2
1Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Division of Cardiology Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China

Phosphocreatine (PCr) plays a vital role in neuron and myocyte energy homeostasis, and measurement of PCr provides a unique way to achieve insight into cellular energetics. Our previous study demonstrated that high-resolution PCr mapping of human skeletal muscle can be obtained on standard 3T clinical MRI scanner using artificial neural network-based chemical exchange saturation transfer (ANNCEST). Here, for further validation, we applied ANNCEST to measure PCr changes in exercised skeletal muscle and compared the measures with those from 31P magnetic resonance spectroscopy. The feasibility of estimating spatially resolved PCr recovery rate constants using ANNCEST was also demonstrated.

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