Abstract #0343

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

Lin Chen^1,2, Michael Schär^1,3, Kannie W.Y. Chan^1,2,4, Jianpan Huang⁴, Zhiliang Wei^1,2, Hanzhang Lu^1,2, Qin Qin^1,2, Robert G. Weiss^1,3, Peter C.M. van Zijl^1,2, and Jiadi Xu^1,2

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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