Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters

In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefact...

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Autores principales: Ronja Thieleking, Rui Zhang, Maria Paerisch, Kerstin Wirkner, Alfred Anwander, Frauke Beyer, Arno Villringer, A. Veronica Witte
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:2227311d166149248c11d413d69d0a562021-11-11T17:37:05ZSame Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters10.3390/jcm102149872077-0383https://doaj.org/article/2227311d166149248c11d413d69d0a562021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/4987https://doaj.org/toc/2077-0383In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefactual changes or mask pathological alterations. However, if and how changes of MRI hardware, scanning protocols or preprocessing software affect complex neuroimaging outcomes from, e.g., diffusion weighted imaging (DWI) remains largely understudied. We therefore compared DWI outcomes and artefact severity of 121 healthy participants (age range 19–54 years) who underwent two matched DWI protocols (Siemens product and Center for Magnetic Resonance Research sequence) at two sites (Siemens 3T Magnetom Verio and Skyra<sup>fit</sup>). After different preprocessing steps, fractional anisotropy (FA) and mean diffusivity (MD) maps, obtained by tensor fitting, were processed with tract-based spatial statistics (TBSS). Inter-scanner and inter-sequence variability of skeletonised FA values reached up to 5% and differed largely in magnitude and direction across the brain. Skeletonised MD values differed up to 14% between scanners. We here demonstrate that DTI outcome measures strongly depend on imaging site and software, and that these biases vary between brain regions. These regionally inhomogeneous biases may exceed and considerably confound physiological effects such as ageing, highlighting the need to harmonise data acquisition and analysis. Future studies thus need to implement novel strategies to augment neuroimaging data reliability and replicability.Ronja ThielekingRui ZhangMaria PaerischKerstin WirknerAlfred AnwanderFrauke BeyerArno VillringerA. Veronica WitteMDPI AGarticlediffusion magnetic resonance imagingwhite matterfractional anisotropymulti-centrereproducibilityimaging artefactsMedicineRENJournal of Clinical Medicine, Vol 10, Iss 4987, p 4987 (2021)
institution DOAJ
collection DOAJ
language EN
topic diffusion magnetic resonance imaging
white matter
fractional anisotropy
multi-centre
reproducibility
imaging artefacts
Medicine
R
spellingShingle diffusion magnetic resonance imaging
white matter
fractional anisotropy
multi-centre
reproducibility
imaging artefacts
Medicine
R
Ronja Thieleking
Rui Zhang
Maria Paerisch
Kerstin Wirkner
Alfred Anwander
Frauke Beyer
Arno Villringer
A. Veronica Witte
Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
description In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of high importance in order to detect pathological changes, but developments in MRI hard- and software often outrun extended periods of data acquisition and analysis. This could potentially introduce artefactual changes or mask pathological alterations. However, if and how changes of MRI hardware, scanning protocols or preprocessing software affect complex neuroimaging outcomes from, e.g., diffusion weighted imaging (DWI) remains largely understudied. We therefore compared DWI outcomes and artefact severity of 121 healthy participants (age range 19–54 years) who underwent two matched DWI protocols (Siemens product and Center for Magnetic Resonance Research sequence) at two sites (Siemens 3T Magnetom Verio and Skyra<sup>fit</sup>). After different preprocessing steps, fractional anisotropy (FA) and mean diffusivity (MD) maps, obtained by tensor fitting, were processed with tract-based spatial statistics (TBSS). Inter-scanner and inter-sequence variability of skeletonised FA values reached up to 5% and differed largely in magnitude and direction across the brain. Skeletonised MD values differed up to 14% between scanners. We here demonstrate that DTI outcome measures strongly depend on imaging site and software, and that these biases vary between brain regions. These regionally inhomogeneous biases may exceed and considerably confound physiological effects such as ageing, highlighting the need to harmonise data acquisition and analysis. Future studies thus need to implement novel strategies to augment neuroimaging data reliability and replicability.
format article
author Ronja Thieleking
Rui Zhang
Maria Paerisch
Kerstin Wirkner
Alfred Anwander
Frauke Beyer
Arno Villringer
A. Veronica Witte
author_facet Ronja Thieleking
Rui Zhang
Maria Paerisch
Kerstin Wirkner
Alfred Anwander
Frauke Beyer
Arno Villringer
A. Veronica Witte
author_sort Ronja Thieleking
title Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
title_short Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
title_full Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
title_fullStr Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
title_full_unstemmed Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters
title_sort same brain, different look?—the impact of scanner, sequence and preprocessing on diffusion imaging outcome parameters
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/2227311d166149248c11d413d69d0a56
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