CRAN

dti 1.4

Analysis of Diffusion Weighted Imaging (DWI) Data

Released May 9, 2019 by Karsten Tabelow

Dependencies

rgl 0.100.24 quadprog 1.5-7 gsl 2.1-6 oro.nifti 0.9.1 adimpro 0.9.0 awsMethods 1.1-1 oro.dicom 0.5.0

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.

Source

View GitHub Mirror

Release History

• 1.4
• 1.3-0.3
• 1.2-6.1
• 1.2-6
• 1.2-4.1
• 1.2-4
• 1.2-0.1
• 1.2-0
• 1.1-7
• 1.1-4
• 1.1-0
• 1.0-3
• 1.0-0.1
• 1.0-0
• 0.9-6.3
• 0.9-6.2
• 0.9-5
• 0.9-4
• 0.9-3.1
• 0.9-3
• 0.9-2.1
• 0.9-2
• 0.9-1.1
• 0.9-1
• 0.9-0
• 0.8-2
• 0.8-1
• 0.8-0
• 0.6-0
• 0.5-4