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...

Descripción completa

Guardado en:
Detalles Bibliográficos
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:
R
Q
Acceso en línea:https://doaj.org/article/73b8db13b3724cb6b3f3e76ef4f20c47
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:73b8db13b3724cb6b3f3e76ef4f20c47
record_format dspace
spelling oai:doaj.org-article:73b8db13b3724cb6b3f3e76ef4f20c472021-11-11T08:14:54ZIn-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI1932-6203https://doaj.org/article/73b8db13b3724cb6b3f3e76ef4f20c472021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570486/?tool=EBIhttps://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 (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/73b8db13b3724cb6b3f3e76ef4f20c47
work_keys_str_mv AT ezgiberberoglu insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
AT christiantstoeck insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
AT philippemoireau insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
AT sebastiankozerke insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
AT martingenet insilicostudyofaccuracyandprecisionofleftventricularstrainquantificationfrom3dtaggedmri
_version_ 1718439316970012672