Difference between revisions of "Modules:DiffusionMRIWelcome-Documentation-3.6"
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= Diffusion MRI in 3D Slicer = | = Diffusion MRI in 3D Slicer = | ||
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| − | |An rich set of tools is available within 3D Slicer to perform Diffusion MRI image visualization and analysis. There are three categories of modules: [[ #DWI Filtering ]] for denoising the Diffusion Weighted (DW) images; [[ #Diffusion tensor utilities ]] for estimating diffusion tensors (DT) from DW images and calculating scalar invariants like the fractional anisotropy (FA) and resampling the DT images; and [[ #Tractography ]] to trace and analyse white matter fibers from DT images and assess connectivity between regions from DW images. | + | |An rich set of tools is available within 3D Slicer to perform Diffusion MRI image visualization and analysis. There are three categories of modules: [[ #DWI Filtering|DWI filtering ]] for denoising the Diffusion Weighted (DW) images; [[ #Diffusion Tensor Utilities|Diffusion tensor utilities ]] for estimating diffusion tensors (DT) from DW images and calculating scalar invariants like the fractional anisotropy (FA) and resampling the DT images; and [[ #Tractography|Tractography ]] to trace and analyse white matter fibers from DT images and assess connectivity between regions from DW images. |
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= Diffusion MRI Modules = | = Diffusion MRI Modules = | ||
== DWI Filtering == | == DWI Filtering == | ||
Revision as of 16:46, 8 May 2010
Home < Modules:DiffusionMRIWelcome-Documentation-3.6Diffusion MRI in 3D Slicer
| An rich set of tools is available within 3D Slicer to perform Diffusion MRI image visualization and analysis. There are three categories of modules: DWI filtering for denoising the Diffusion Weighted (DW) images; Diffusion tensor utilities for estimating diffusion tensors (DT) from DW images and calculating scalar invariants like the fractional anisotropy (FA) and resampling the DT images; and Tractography to trace and analyse white matter fibers from DT images and assess connectivity between regions from DW images. |
