Diffusion Weighted Imaging 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 in the context of the diffusion tensor model (DTI). This includes the calculation of anisotropy measures and, most important, the implementation of our structural adaptive smoothing algorithm as described in K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive Smoothing, Neuroimage 39(4), 1763-1773 (2008).
| Version: | 0.5-4 |
| Depends: | R (≥ 2.5.0), methods, adimpro, fmri |
| Date: | 2008-05-20 |
| Author: | Karsten Tabelow Joerg Polzehl |
| Maintainer: | Karsten Tabelow <tabelow at wias-berlin.de> |
| License: | GPL (≥2) |
| URL: | http://www.wias-berlin.de/projects/matheon_a3 |
| CRAN checks: | dti results |
Downloads:
| Package source: | dti_0.5-4.tar.gz |
| MacOS X binary: | dti_0.5-4.tgz |
| Windows binary: | dti_0.5-4.zip |
| Reference manual: | dti.pdf |