In vivo imaging of phosphocreatine with artificial neural networks

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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7c062cc4830f4f56a3e0cc4452522c11
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spelling	oai:doaj.org-article:7c062cc4830f4f56a3e0cc4452522c112021-12-02T17:31:08ZIn vivo imaging of phosphocreatine with artificial neural networks10.1038/s41467-020-14874-02041-1723https://doaj.org/article/7c062cc4830f4f56a3e0cc4452522c112020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14874-0https://doaj.org/toc/2041-1723Phosphocreatine 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.Lin ChenMichael SchärKannie W. Y. ChanJianpan HuangZhiliang WeiHanzhang LuQin QinRobert G. WeissPeter C. M. van ZijlJiadi XuNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 In vivo imaging of phosphocreatine with artificial neural networks
description	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.
format	article
author	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
author_facet	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
author_sort	Lin Chen
title	In vivo imaging of phosphocreatine with artificial neural networks
title_short	In vivo imaging of phosphocreatine with artificial neural networks
title_full	In vivo imaging of phosphocreatine with artificial neural networks
title_fullStr	In vivo imaging of phosphocreatine with artificial neural networks
title_full_unstemmed	In vivo imaging of phosphocreatine with artificial neural networks
title_sort	in vivo imaging of phosphocreatine with artificial neural networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/7c062cc4830f4f56a3e0cc4452522c11
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In vivo imaging of phosphocreatine with artificial neural networks

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