Analysis of Diffusion Weighted Imaging (DWI) Data
Create an adjacency matrix from fiber tracking results
Estimate noise variance for multicoil MR systems
Combine two objects of class "dtiData")
Diffusion Kurtosis Imaging (DKI)
Class "dwi"
tools:::Rd_package_title("dti")
Set and manipulate image orientations for plots.
Methods for Function dti.smooth' in Package dti'
Methods for Function dtiIndices' in Package dti'
Methods for Function dtiTensor' in Package dti'
Smooth DWI data
Methods for Mean Diffusivity in Package `dti'
Methods for Function dwiMixtensor' in Package dti'
Methods for Function dwiQball' in Package dti'
Correction for Rician Bias
Methods for positive definite EAP and ODF estimation in Package dti
Methods for Function extract' and [' in Package `dti'
Methods for Function getmask' in Package dti'
Estimate the noise standard deviation
Read/Write Diffusion Tensor Data from/to NIFTI File
Optimal gradient directions
Methods for Function plot' in Package dti'
Polyeders derived from the Icosahedron (icosa0) by sequential triangul...
Methods for Function print' in Package dti'
Read Diffusion Weighted Data
Methods for Function sdpar' in Package dti'
Methods for Function setmask' in Package dti'
Methods for Function show' in Package dti'
Methods for Function show3d' in Package dti'
Writes an image with the colqFA colorscale to disk.
Create an objects of class "dtiData" containing only a subset of gradi...
Methods for Function summary' in Package dti'
Methods for Function tracking' in Package dti'
Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging modality, that measures diffusion of water in tissues like the human brain. The package contains R-functions to process diffusion-weighted data. The functionality includes diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), modeling for high angular resolution diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture models, several methods for structural adaptive smoothing including POAS and msPOAS, and a streamline fiber tracking for tensor and tensor mixture models. The package provides functionality to manipulate and visualize results in 2D and 3D.