Cargando…
Diffusion MRI: Assessment of the Impact of Acquisition and Preprocessing Methods Using the BrainVISA-Diffuse Toolbox
Diffusion MR images are prone to severe geometric distortions induced by head movement, eddy-current and inhomogeneity of magnetic susceptibility. Various correction methods have been proposed that depend on the choice of the acquisition settings and potentially provide highly different data quality...
Autores principales: | Brun, Lucile, Pron, Alexandre, Sein, Julien, Deruelle, Christine, Coulon, Olivier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593278/ https://www.ncbi.nlm.nih.gov/pubmed/31275091 http://dx.doi.org/10.3389/fnins.2019.00536 |
Ejemplares similares
-
What’s new and what’s next in diffusion MRI preprocessing
por: Tax, Chantal M.W., et al.
Publicado: (2022) -
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy
por: Fick, Rutger H. J., et al.
Publicado: (2019) -
Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa
por: Shokouhi, Mahsa, et al.
Publicado: (2011) -
PANDA: a pipeline toolbox for analyzing brain diffusion images
por: Cui, Zaixu, et al.
Publicado: (2013) -
Effects of Non-Local Diffusion on Structural MRI Preprocessing and Default Network Mapping: Statistical Comparisons with Isotropic/Anisotropic Diffusion
por: Zuo, Xi-Nian, et al.
Publicado: (2011)