Multi-component quantitative magnetic resonance imaging by phasor representation

Abstract Quantitative magnetic resonance imaging (qMRI) is a versatile, non-destructive and non-invasive tool in life, material, and medical sciences. When multiple components contribute to the signal in a single pixel, however, it is difficult to quantify their individual contributions and characte...

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Autores principales:	Frank J. Vergeldt, Alena Prusova, Farzad Fereidouni, Herbert van Amerongen, Henk Van As, Tom W. J. Scheenen, Arjen N. Bader
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3788856aae1644b0bf7412dbb63c33d4
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spelling	oai:doaj.org-article:3788856aae1644b0bf7412dbb63c33d42021-12-02T11:52:41ZMulti-component quantitative magnetic resonance imaging by phasor representation10.1038/s41598-017-00864-82045-2322https://doaj.org/article/3788856aae1644b0bf7412dbb63c33d42017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00864-8https://doaj.org/toc/2045-2322Abstract Quantitative magnetic resonance imaging (qMRI) is a versatile, non-destructive and non-invasive tool in life, material, and medical sciences. When multiple components contribute to the signal in a single pixel, however, it is difficult to quantify their individual contributions and characteristic parameters. Here we introduce the concept of phasor representation to qMRI to disentangle the signals from multiple components in imaging data. Plotting the phasors allowed for decomposition, unmixing, segmentation and quantification of our in vivo data from a plant stem, a human and mouse brain and a human prostate. In human brain images, we could identify 3 main T 2 components and 3 apparent diffusion coefficients; in human prostate 5 main contributing spectral shapes were distinguished. The presented phasor analysis is model-free, fast and accurate. Moreover, we also show that it works for undersampled data.Frank J. VergeldtAlena PrusovaFarzad FereidouniHerbert van AmerongenHenk Van AsTom W. J. ScheenenArjen N. BaderNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Frank J. Vergeldt Alena Prusova Farzad Fereidouni Herbert van Amerongen Henk Van As Tom W. J. Scheenen Arjen N. Bader Multi-component quantitative magnetic resonance imaging by phasor representation
description	Abstract Quantitative magnetic resonance imaging (qMRI) is a versatile, non-destructive and non-invasive tool in life, material, and medical sciences. When multiple components contribute to the signal in a single pixel, however, it is difficult to quantify their individual contributions and characteristic parameters. Here we introduce the concept of phasor representation to qMRI to disentangle the signals from multiple components in imaging data. Plotting the phasors allowed for decomposition, unmixing, segmentation and quantification of our in vivo data from a plant stem, a human and mouse brain and a human prostate. In human brain images, we could identify 3 main T 2 components and 3 apparent diffusion coefficients; in human prostate 5 main contributing spectral shapes were distinguished. The presented phasor analysis is model-free, fast and accurate. Moreover, we also show that it works for undersampled data.
format	article
author	Frank J. Vergeldt Alena Prusova Farzad Fereidouni Herbert van Amerongen Henk Van As Tom W. J. Scheenen Arjen N. Bader
author_facet	Frank J. Vergeldt Alena Prusova Farzad Fereidouni Herbert van Amerongen Henk Van As Tom W. J. Scheenen Arjen N. Bader
author_sort	Frank J. Vergeldt
title	Multi-component quantitative magnetic resonance imaging by phasor representation
title_short	Multi-component quantitative magnetic resonance imaging by phasor representation
title_full	Multi-component quantitative magnetic resonance imaging by phasor representation
title_fullStr	Multi-component quantitative magnetic resonance imaging by phasor representation
title_full_unstemmed	Multi-component quantitative magnetic resonance imaging by phasor representation
title_sort	multi-component quantitative magnetic resonance imaging by phasor representation
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/3788856aae1644b0bf7412dbb63c33d4
work_keys_str_mv	AT frankjvergeldt multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT alenaprusova multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT farzadfereidouni multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT herbertvanamerongen multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT henkvanas multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT tomwjscheenen multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation AT arjennbader multicomponentquantitativemagneticresonanceimagingbyphasorrepresentation
_version_	1718394977680097280

Multi-component quantitative magnetic resonance imaging by phasor representation

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