Nature Communications (Feb 2020)

In vivo imaging of phosphocreatine with artificial neural networks

  • 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

DOI
https://doi.org/10.1038/s41467-020-14874-0
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 10

Abstract

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Phosphocreatine plays a vital role in cellular energetic homeostasis, but there are no routine diagnostic tests to noninvasively map the distribution with clinically relevant spatial resolution. Here, the authors develop and validate a noninvasive approach for quantifying and imaging phosphocreatine, without contrast agents, on widely available clinical MRI scanners with artificial neural networks.