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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Main 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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-14874-0

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spelling	doaj-7c062cc4830f4f56a3e0cc4452522c112021-05-11T08:29:07ZengNature Publishing GroupNature Communications2041-17232020-02-0111111010.1038/s41467-020-14874-0In vivo imaging of phosphocreatine with artificial neural networksLin Chen0Michael Schär1Kannie W. Y. Chan2Jianpan Huang3Zhiliang Wei4Hanzhang Lu5Qin Qin6Robert G. Weiss7Peter C. M. van Zijl8Jiadi Xu9F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstituteRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of MedicineRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of MedicineDepartment of Biomedical Engineering, City University of Hong KongF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstituteF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstituteF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstituteRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of MedicineF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstituteF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research InstitutePhosphocreatine 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.https://doi.org/10.1038/s41467-020-14874-0
collection	DOAJ
language	English
format	Article
sources	DOAJ
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
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-02-01
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.
url	https://doi.org/10.1038/s41467-020-14874-0
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In vivo imaging of phosphocreatine with artificial neural networks

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