In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.

Cardiac Magnetic Resonance Imaging (MRI) allows quantifying myocardial tissue deformation and strain based on the tagging principle. In this work, we investigate accuracy and precision of strain quantification from synthetic 3D tagged MRI using equilibrated warping. To this end, synthetic biomechani...

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Autores principales:	Ezgi Berberoğlu, Christian T Stoeck, Philippe Moireau, Sebastian Kozerke, Martin Genet
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1a4d5e51d3ce4b1084600ff9ecfd1c27
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spelling	oai:doaj.org-article:1a4d5e51d3ce4b1084600ff9ecfd1c272021-12-02T20:06:04ZIn-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.1932-620310.1371/journal.pone.0258965https://doaj.org/article/1a4d5e51d3ce4b1084600ff9ecfd1c272021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258965https://doaj.org/toc/1932-6203Cardiac Magnetic Resonance Imaging (MRI) allows quantifying myocardial tissue deformation and strain based on the tagging principle. In this work, we investigate accuracy and precision of strain quantification from synthetic 3D tagged MRI using equilibrated warping. To this end, synthetic biomechanical left-ventricular tagged MRI data with varying tag distance, spatial resolution and signal-to-noise ratio (SNR) were generated and processed to quantify errors in radial, circumferential and longitudinal strains relative to ground truth. Results reveal that radial strain is more sensitive to image resolution and noise than the other strain components. The study also shows robustness of quantifying circumferential and longitudinal strain in the presence of geometrical inconsistencies of 3D tagged data. In conclusion, our study points to the need for higher-resolution 3D tagged MRI than currently available in practice in order to achieve sufficient accuracy of radial strain quantification.Ezgi BerberoğluChristian T StoeckPhilippe MoireauSebastian KozerkeMartin GenetPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0258965 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ezgi Berberoğlu Christian T Stoeck Philippe Moireau Sebastian Kozerke Martin Genet In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
description	Cardiac Magnetic Resonance Imaging (MRI) allows quantifying myocardial tissue deformation and strain based on the tagging principle. In this work, we investigate accuracy and precision of strain quantification from synthetic 3D tagged MRI using equilibrated warping. To this end, synthetic biomechanical left-ventricular tagged MRI data with varying tag distance, spatial resolution and signal-to-noise ratio (SNR) were generated and processed to quantify errors in radial, circumferential and longitudinal strains relative to ground truth. Results reveal that radial strain is more sensitive to image resolution and noise than the other strain components. The study also shows robustness of quantifying circumferential and longitudinal strain in the presence of geometrical inconsistencies of 3D tagged data. In conclusion, our study points to the need for higher-resolution 3D tagged MRI than currently available in practice in order to achieve sufficient accuracy of radial strain quantification.
format	article
author	Ezgi Berberoğlu Christian T Stoeck Philippe Moireau Sebastian Kozerke Martin Genet
author_facet	Ezgi Berberoğlu Christian T Stoeck Philippe Moireau Sebastian Kozerke Martin Genet
author_sort	Ezgi Berberoğlu
title	In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
title_short	In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
title_full	In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
title_fullStr	In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
title_full_unstemmed	In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
title_sort	in-silico study of accuracy and precision of left-ventricular strain quantification from 3d tagged mri.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/1a4d5e51d3ce4b1084600ff9ecfd1c27
work_keys_str_mv	AT ezgiberberoglu insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri AT christiantstoeck insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri AT philippemoireau insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri AT sebastiankozerke insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri AT martingenet insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
_version_	1718375407278882816

In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.

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