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In vivo imaging of phosphocreatine with artificial neural networks

Medicine and Health

In vivo imaging of phosphocreatine with artificial neural networks

L. Chen, M. Schär, et al.

Discover how artificial neural network-based chemical exchange saturation transfer (ANNCEST) is revolutionizing the mapping of phosphocreatine concentration in human skeletal muscle. Conducted by Lin Chen and colleagues, this study showcases rapid and accurate quantification, achieving remarkable results in just 1.5 minutes with a 3T MRI scanner.

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Playback language: English
Abstract
Phosphocreatine (PCr) plays a crucial role in energy homeostasis within neurons and myocytes. Currently, noninvasive PCr distribution mapping with clinically relevant spatial resolution and scan time is lacking. This study demonstrates that artificial neural network-based chemical exchange saturation transfer (ANNCEST) rapidly and robustly quantifies PCr concentration, mitigating common MRI interferences. High-quality PCr mapping of human skeletal muscle, including exchange rate, magnetic field, and radio-frequency inhomogeneity information, is achieved within 1.5 minutes on a 3T MRI scanner. ANNCEST results strongly correlate with <sup>31</sup>P magnetic resonance spectroscopy (R=0.813, p<0.001), suggesting its potential as a cost-effective, widely available method for PCr measurement and diagnosis of related diseases.
Publisher
Nature Communications
Published On
Feb 26, 2020
Authors
Lin Chen, Michael Schär, Kannie W.Y. Chan, Jianpan Huang, Zhiliang Wei, Hanzhang Lu, Qin Qin, Robert G. Weiss, Peter C.M. van Zijl, Jiadi Xu
Tags
Phosphocreatine
PCr mapping
ANNCEST
MRI
human skeletal muscle
magnetic resonance spectroscopy

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