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

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
• Contract Date: Sep 26, 2018