Analysis of Diffusion Weighted Imaging (DWI) Data R package dti version 1.5.4.3 CRAN Task View: MedicalImaging (https://CRAN.R-project.org/view=MedicalImaging) 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. Software Depends: R (>= 3.5.0), awsMethods (>= 1.1-1) Imports: methods, parallel, adimpro (>= 0.9), aws (>= 2.4.1), rgl, oro.nifti (>= 0.3.9), oro.dicom, gsl, quadprog Suggests: covr Karsten Tabelow <karsten.tabelow@wias-berlin.de> Comprehensive R Archive Network (CRAN) Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker [ctb] GPL (>= 2) 2024-09-26 application/tgz https://CRAN.R-project.org/package=dti doi:10.32614/CRAN.package.dti