How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs

Background: Quantitative MRI (qMRI) techniques allow assessing cerebral tissue properties. However, previous studies on the accuracy of quantitative T1 and T2 mapping reported a scanner model bias of up to 10% for T1 and up to 23% for T2. Such differences would render multi-centre qMRI studies diffi...

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Main Authors: René-Maxime Gracien, Michelle Maiworm, Nadine Brüche, Manoj Shrestha, Ulrike Nöth, Elke Hattingen, Marlies Wagner, Ralf Deichmann
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309553
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author René-Maxime Gracien
Michelle Maiworm
Nadine Brüche
Manoj Shrestha
Ulrike Nöth
Elke Hattingen
Marlies Wagner
Ralf Deichmann
author_facet René-Maxime Gracien
Michelle Maiworm
Nadine Brüche
Manoj Shrestha
Ulrike Nöth
Elke Hattingen
Marlies Wagner
Ralf Deichmann
author_sort René-Maxime Gracien
collection DOAJ
description Background: Quantitative MRI (qMRI) techniques allow assessing cerebral tissue properties. However, previous studies on the accuracy of quantitative T1 and T2 mapping reported a scanner model bias of up to 10% for T1 and up to 23% for T2. Such differences would render multi-centre qMRI studies difficult and raise fundamental questions about the general precision of qMRI. A problem in previous studies was that different methods were used for qMRI parameter mapping or for measuring the transmitted radio frequency field B1 which is critical for qMRI techniques requiring corrections for B1 non-uniformities. Aims: The goal was to assess the intra- and inter-scanner reproducibility of qMRI data at 3 ​T, using two different scanner models from the same vendor with exactly the same multiparametric acquisition protocol. Methods: Proton density (PD), T1, T2* and T2 mapping was performed on healthy subjects and on a phantom, performing each measurement twice for each of two scanner models. Although the scanners had different hardware and software versions, identical imaging sequences were used for PD, T1 and T2* mapping, adapting the codes of an existing protocol on the older system line by line to match the software version of the newer scanner. For T2-mapping, the respective manufacturer’s sequence was used which depended on the software version. However, system-dependent corrections were carried out in this case. Reproducibility was assessed by average values in regions of interest. Results: Mean scan-rescan variations were not exceeding 2.14%, with average values of 1.23% and 1.56% for the new and old system, respectively. Inter-scanner model deviations were not exceeding 5.21% with average values of about 2.2–3.8% for PD, 2.5–3.0% for T2*, 1.6–3.1% for T1 and 3.3–5.2% for T2. Conclusions: Provided that identical acquisition sequences are used, discrepancies between qMRI data acquired with different scanner models are low. The level of systematic differences reported in this work may help to interpret multi-centre data.
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spelling doaj.art-900cee445ca14bf8b88baf3c4b246ac42022-12-21T17:57:51ZengElsevierNeuroImage1095-95722020-02-01207116364How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programsRené-Maxime Gracien0Michelle Maiworm1Nadine Brüche2Manoj Shrestha3Ulrike Nöth4Elke Hattingen5Marlies Wagner6Ralf Deichmann7Department of Neurology, Goethe University, Frankfurt/Main, Germany; Brain Imaging Center, Goethe University, Frankfurt/Main, Germany; Corresponding author. Brain Imaging Center, University Hospital, Schleusenweg 2-16, 60528 Frankfurt, Germany.Department of Neurology, Goethe University, Frankfurt/Main, Germany; Department of Neuroradiology, Goethe University, Frankfurt/Main, Germany; Brain Imaging Center, Goethe University, Frankfurt/Main, GermanyBrain Imaging Center, Goethe University, Frankfurt/Main, GermanyBrain Imaging Center, Goethe University, Frankfurt/Main, GermanyBrain Imaging Center, Goethe University, Frankfurt/Main, GermanyDepartment of Neuroradiology, Goethe University, Frankfurt/Main, GermanyDepartment of Neuroradiology, Goethe University, Frankfurt/Main, GermanyBrain Imaging Center, Goethe University, Frankfurt/Main, GermanyBackground: Quantitative MRI (qMRI) techniques allow assessing cerebral tissue properties. However, previous studies on the accuracy of quantitative T1 and T2 mapping reported a scanner model bias of up to 10% for T1 and up to 23% for T2. Such differences would render multi-centre qMRI studies difficult and raise fundamental questions about the general precision of qMRI. A problem in previous studies was that different methods were used for qMRI parameter mapping or for measuring the transmitted radio frequency field B1 which is critical for qMRI techniques requiring corrections for B1 non-uniformities. Aims: The goal was to assess the intra- and inter-scanner reproducibility of qMRI data at 3 ​T, using two different scanner models from the same vendor with exactly the same multiparametric acquisition protocol. Methods: Proton density (PD), T1, T2* and T2 mapping was performed on healthy subjects and on a phantom, performing each measurement twice for each of two scanner models. Although the scanners had different hardware and software versions, identical imaging sequences were used for PD, T1 and T2* mapping, adapting the codes of an existing protocol on the older system line by line to match the software version of the newer scanner. For T2-mapping, the respective manufacturer’s sequence was used which depended on the software version. However, system-dependent corrections were carried out in this case. Reproducibility was assessed by average values in regions of interest. Results: Mean scan-rescan variations were not exceeding 2.14%, with average values of 1.23% and 1.56% for the new and old system, respectively. Inter-scanner model deviations were not exceeding 5.21% with average values of about 2.2–3.8% for PD, 2.5–3.0% for T2*, 1.6–3.1% for T1 and 3.3–5.2% for T2. Conclusions: Provided that identical acquisition sequences are used, discrepancies between qMRI data acquired with different scanner models are low. The level of systematic differences reported in this work may help to interpret multi-centre data.http://www.sciencedirect.com/science/article/pii/S1053811919309553Quantitative MRIRelaxometryProton densityReproducibilityScanner models
spellingShingle René-Maxime Gracien
Michelle Maiworm
Nadine Brüche
Manoj Shrestha
Ulrike Nöth
Elke Hattingen
Marlies Wagner
Ralf Deichmann
How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
NeuroImage
Quantitative MRI
Relaxometry
Proton density
Reproducibility
Scanner models
title How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
title_full How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
title_fullStr How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
title_full_unstemmed How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
title_short How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs
title_sort how stable is quantitative mri assessment of intra and inter scanner model reproducibility using identical acquisition sequences and data analysis programs
topic Quantitative MRI
Relaxometry
Proton density
Reproducibility
Scanner models
url http://www.sciencedirect.com/science/article/pii/S1053811919309553
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