Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging

Abstract Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/3D radials and spirals), demonstrating ef...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Pedro A. Gómez, Matteo Cencini, Mohammad Golbabaee, Rolf F. Schulte, Carolin Pirkl, Izabela Horvath, Giada Fallo, Luca Peretti, Michela Tosetti, Bjoern H. Menze, Guido Buonincontri
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/05d2f38168cb46aeb7ef4f218b5fd783
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:05d2f38168cb46aeb7ef4f218b5fd783
record_format	dspace
spelling	oai:doaj.org-article:05d2f38168cb46aeb7ef4f218b5fd7832021-12-02T18:50:49ZRapid three-dimensional multiparametric MRI with quantitative transient-state imaging10.1038/s41598-020-70789-22045-2322https://doaj.org/article/05d2f38168cb46aeb7ef4f218b5fd7832020-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-70789-2https://doaj.org/toc/2045-2322Abstract Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/3D radials and spirals), demonstrating efficient anti-aliasing with a k-space view-sharing technique, and proposing novel methods for parameter inference with neural networks that incorporate the estimation of proton density. Our results show good agreement with gold standard and phantom references for all readout trajectories at 1.5 T and 3 T. Parameters inferred with the neural network were within 6.58% difference from the parameters inferred with a high-resolution dictionary. Concordance correlation coefficients were above 0.92 and the normalized root mean squared error ranged between 4.2 and 12.7% with respect to gold-standard phantom references for T1 and T2. In vivo acquisitions demonstrate sub-millimetric isotropic resolution in under five minutes with reconstruction and inference times < 7 min. Our 3D quantitative transient-state imaging approach could enable high-resolution multiparametric tissue quantification within clinically acceptable acquisition and reconstruction times.Pedro A. GómezMatteo CenciniMohammad GolbabaeeRolf F. SchulteCarolin PirklIzabela HorvathGiada FalloLuca PerettiMichela TosettiBjoern H. MenzeGuido BuonincontriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pedro A. Gómez Matteo Cencini Mohammad Golbabaee Rolf F. Schulte Carolin Pirkl Izabela Horvath Giada Fallo Luca Peretti Michela Tosetti Bjoern H. Menze Guido Buonincontri Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
description	Abstract Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/3D radials and spirals), demonstrating efficient anti-aliasing with a k-space view-sharing technique, and proposing novel methods for parameter inference with neural networks that incorporate the estimation of proton density. Our results show good agreement with gold standard and phantom references for all readout trajectories at 1.5 T and 3 T. Parameters inferred with the neural network were within 6.58% difference from the parameters inferred with a high-resolution dictionary. Concordance correlation coefficients were above 0.92 and the normalized root mean squared error ranged between 4.2 and 12.7% with respect to gold-standard phantom references for T1 and T2. In vivo acquisitions demonstrate sub-millimetric isotropic resolution in under five minutes with reconstruction and inference times < 7 min. Our 3D quantitative transient-state imaging approach could enable high-resolution multiparametric tissue quantification within clinically acceptable acquisition and reconstruction times.
format	article
author	Pedro A. Gómez Matteo Cencini Mohammad Golbabaee Rolf F. Schulte Carolin Pirkl Izabela Horvath Giada Fallo Luca Peretti Michela Tosetti Bjoern H. Menze Guido Buonincontri
author_facet	Pedro A. Gómez Matteo Cencini Mohammad Golbabaee Rolf F. Schulte Carolin Pirkl Izabela Horvath Giada Fallo Luca Peretti Michela Tosetti Bjoern H. Menze Guido Buonincontri
author_sort	Pedro A. Gómez
title	Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
title_short	Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
title_full	Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
title_fullStr	Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
title_full_unstemmed	Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
title_sort	rapid three-dimensional multiparametric mri with quantitative transient-state imaging
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/05d2f38168cb46aeb7ef4f218b5fd783
work_keys_str_mv	AT pedroagomez rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT matteocencini rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT mohammadgolbabaee rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT rolffschulte rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT carolinpirkl rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT izabelahorvath rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT giadafallo rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT lucaperetti rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT michelatosetti rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT bjoernhmenze rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging AT guidobuonincontri rapidthreedimensionalmultiparametricmriwithquantitativetransientstateimaging
_version_	1718377484383158272

Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging

Ejemplares similares