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...
Հիմնական հեղինակներ: | Bastiani, M, Cottaar, M, Fitzgibbon, S, Suri, S, Alfaro-Almagro, F, Sotiropoulos, S, Jbabdi, S, Andersson, J |
---|---|
Ձևաչափ: | Journal article |
Լեզու: | English |
Հրապարակվել է: |
Elsevier
2018
|
Նմանատիպ նյութեր
-
Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
: Andersson, J, և այլն
Հրապարակվել է: (2016) -
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: within volume movement
: Andersson, J, և այլն
Հրապարակվել է: (2017) -
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
: Bastiani, M, և այլն
Հրապարակվել է: (2018) -
Joint modelling of diffusion MRI and microscopy
: Howard, A, և այլն
Հրապարակվել է: (2019) -
Modelling fibre fanning in diffusion-weighted MRI.
: Sotiropoulos, SN, և այլն
Հրապարակվել է: (2012)