Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

Bastiani, Matteo; Cottaar, Michiel; Fitzgibbon, Sean P.; Suri, Sana; Alfaro-Almagro, Fidel; Sotiropoulos, Stamatios N.; Jbabdi, Saad; Andersson, Jesper

doi:10.1016/j.neuroimage.2018.09.073

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

Bastiani, Matteo; Cottaar, Michiel; Fitzgibbon, Sean P.; Suri, Sana; Alfaro-Almagro, Fidel; Sotiropoulos, Stamatios N.; Jbabdi, Saad; Andersson, Jesper

Authors

Matteo Bastiani

Michiel Cottaar

Sean P. Fitzgibbon

Sana Suri

Fidel Alfaro-Almagro

STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
Professor of Computational Neuroimaging

Saad Jbabdi

Jesper Andersson

Abstract

Diffusion MRI data can be affected by hardware and subject-related artefacts that can adversely affect downstream analyses. Therefore, automated quality control (QC) is of great importance, especially in large population studies where visual QC is not practical. In this work, we introduce an automated diffusion MRI QC framework for single subject and group studies. The QC is based on a comprehensive, non-parametric approach for movement and distortion correction: FSL EDDY, which allows us to extract a rich set of QC metrics that are both sensitive and specific to different types of artefacts. Two different tools are presented: QUAD (QUality Assessment for DMRI), for single subject QC and SQUAD (Study-wise QUality Assessment for DMRI), which is designed to enable group QC and facilitate cross- studies harmonisation efforts.

Citation

Bastiani, M., Cottaar, M., Fitzgibbon, S. P., Suri, S., Alfaro-Almagro, F., Sotiropoulos, S. N., …Andersson, J. (2019). Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. NeuroImage, 184, 801-812. https://doi.org/10.1016/j.neuroimage.2018.09.073

Journal Article Type	Article
Acceptance Date	Sep 25, 2018
Online Publication Date	Sep 26, 2018
Publication Date	Jan 1, 2019
Deposit Date	Sep 26, 2018
Publicly Available Date	Sep 27, 2019
Print ISSN	1053-8119
Electronic ISSN	1095-9572
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	184
Pages	801-812
DOI	https://doi.org/10.1016/j.neuroimage.2018.09.073
Keywords	Diffusion MRI ; Quality control ; Movement ; Susceptibility ; Eddy current
Public URL	https://nottingham-repository.worktribe.com/output/1135671
Publisher URL	https://www.sciencedirect.com/science/article/pii/S1053811918319451