Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm

Abstract Myocardial tissue T1 constitutes a reliable indicator of several heart diseases related to extracellular changes (e.g. edema, fibrosis) as well as fat, iron and amyloid content. Magnetic resonance (MR) T1-mapping is typically achieved by pixel-wise exponential fitting of a series of inversi...

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Autores principales:	Gaspar Delso, Laura Farré, José T. Ortiz-Pérez, Susanna Prat, Adelina Doltra, Rosario J. Perea, Teresa M. Caralt, Daniel Lorenzatti, Julián Vega, Santi Sotes, Martin A. Janich, Marta Sitges
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2592507a9e6742a89c0fa89c7f5871c0
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spelling	oai:doaj.org-article:2592507a9e6742a89c0fa89c7f5871c02021-12-02T15:31:27ZImproving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm10.1038/s41598-021-97841-z2045-2322https://doaj.org/article/2592507a9e6742a89c0fa89c7f5871c02021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97841-zhttps://doaj.org/toc/2045-2322Abstract Myocardial tissue T1 constitutes a reliable indicator of several heart diseases related to extracellular changes (e.g. edema, fibrosis) as well as fat, iron and amyloid content. Magnetic resonance (MR) T1-mapping is typically achieved by pixel-wise exponential fitting of a series of inversion or saturation recovery measurements. Good anatomical alignment between these measurements is essential for accurate T1 estimation. Motion correction is recommended to improve alignment. However, in the case of inversion recovery sequences, this correction is compromised by the intrinsic contrast variation between frames. A model-based, non-rigid motion correction method for MOLLI series was implemented and validated on a large database of cardiac clinical cases (n = 186). The method relies on a dedicated similarity metric that accounts for the intensity changes caused by T1 magnetization relaxation. The results were compared to uncorrected series and to the standard motion correction included in the scanner. To automate the quantitative analysis of results, a custom data alignment metric was defined. Qualitative evaluation was performed on a subset of cases to confirm the validity of the new metric. Motion correction caused noticeable (i.e. > 5%) performance degradation in 12% of cases with the standard method, compared to 0.3% with the new dedicated method. The average alignment quality was 85% ± 9% with the default correction and 90% ± 7% with the new method. The results of the qualitative evaluation were found to correlate with the quantitative metric. In conclusion, a dedicated motion correction method for T1 mapping MOLLI series has been evaluated on a large database of clinical cardiac MR cases, confirming its increased robustness with respect to the standard method implemented in the scanner.Gaspar DelsoLaura FarréJosé T. Ortiz-PérezSusanna PratAdelina DoltraRosario J. PereaTeresa M. CaraltDaniel LorenzattiJulián VegaSanti SotesMartin A. JanichMarta SitgesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gaspar Delso Laura Farré José T. Ortiz-Pérez Susanna Prat Adelina Doltra Rosario J. Perea Teresa M. Caralt Daniel Lorenzatti Julián Vega Santi Sotes Martin A. Janich Marta Sitges Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
description	Abstract Myocardial tissue T1 constitutes a reliable indicator of several heart diseases related to extracellular changes (e.g. edema, fibrosis) as well as fat, iron and amyloid content. Magnetic resonance (MR) T1-mapping is typically achieved by pixel-wise exponential fitting of a series of inversion or saturation recovery measurements. Good anatomical alignment between these measurements is essential for accurate T1 estimation. Motion correction is recommended to improve alignment. However, in the case of inversion recovery sequences, this correction is compromised by the intrinsic contrast variation between frames. A model-based, non-rigid motion correction method for MOLLI series was implemented and validated on a large database of cardiac clinical cases (n = 186). The method relies on a dedicated similarity metric that accounts for the intensity changes caused by T1 magnetization relaxation. The results were compared to uncorrected series and to the standard motion correction included in the scanner. To automate the quantitative analysis of results, a custom data alignment metric was defined. Qualitative evaluation was performed on a subset of cases to confirm the validity of the new metric. Motion correction caused noticeable (i.e. > 5%) performance degradation in 12% of cases with the standard method, compared to 0.3% with the new dedicated method. The average alignment quality was 85% ± 9% with the default correction and 90% ± 7% with the new method. The results of the qualitative evaluation were found to correlate with the quantitative metric. In conclusion, a dedicated motion correction method for T1 mapping MOLLI series has been evaluated on a large database of clinical cardiac MR cases, confirming its increased robustness with respect to the standard method implemented in the scanner.
format	article
author	Gaspar Delso Laura Farré José T. Ortiz-Pérez Susanna Prat Adelina Doltra Rosario J. Perea Teresa M. Caralt Daniel Lorenzatti Julián Vega Santi Sotes Martin A. Janich Marta Sitges
author_facet	Gaspar Delso Laura Farré José T. Ortiz-Pérez Susanna Prat Adelina Doltra Rosario J. Perea Teresa M. Caralt Daniel Lorenzatti Julián Vega Santi Sotes Martin A. Janich Marta Sitges
author_sort	Gaspar Delso
title	Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
title_short	Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
title_full	Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
title_fullStr	Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
title_full_unstemmed	Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm
title_sort	improving the robustness of molli t1 maps with a dedicated motion correction algorithm
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2592507a9e6742a89c0fa89c7f5871c0
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Improving the robustness of MOLLI T1 maps with a dedicated motion correction algorithm

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