Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction
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 automat...
Príomhchruthaitheoirí: | Bastiani, M, Cottaar, M, Fitzgibbon, S, Suri, S, Alfaro-Almagro, F, Sotiropoulos, S, Jbabdi, S, Andersson, J |
---|---|
Formáid: | Journal article |
Teanga: | English |
Foilsithe / Cruthaithe: |
Elsevier
2018
|
Míreanna comhchosúla
Míreanna comhchosúla
-
Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
de réir: Andersson, J, et al.
Foilsithe / Cruthaithe: (2016) -
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: within volume movement
de réir: Andersson, J, et al.
Foilsithe / Cruthaithe: (2017) -
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
de réir: Bastiani, M, et al.
Foilsithe / Cruthaithe: (2018) -
Joint modelling of diffusion MRI and microscopy
de réir: Howard, A, et al.
Foilsithe / Cruthaithe: (2019) -
Modelling fibre fanning in diffusion-weighted MRI.
de réir: Sotiropoulos, SN, et al.
Foilsithe / Cruthaithe: (2012)