dti-package               package:dti               R Documentation

_D_T_I _A_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     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 Tabelow et al. (2008).

_D_e_t_a_i_l_s:


       Package:    dti
       Version:    0.5-7
       Date:       2008-07-24
       Depends:    R (>= 2.5.0), adimpro, fmri, rgl
       License:    GPL (>=2)
       Copyright:  2008 Weierstrass Institute for
                   Applied Analysis and Stochastics.
       URL:        <URL: http://www.wias-berlin.de/projects/matheon_a3>

     The package is based on S4 classes and methods.  For help on a
     specific topic use 'class ? <class-name>' for classes, 'methods ?
     <method-name>' for methods and '?<function-name>' for all other
     functions. 

     Index:


     dti-class               Classes "dti", "dtiData", "dtiTensor",
                             "dtiIndices"

     dtiData                 Read Diffusion Weighted Data
                             from Image File
     readDWIdata             Read Diffusion Weighted Data
                             from Directory

     dti.smooth              Structural Adaptive Smoothing

     dtiTensor-methods       Methods for Function 'dtiTensor'
     dtiIndices-methods      Methods for Function 'dtiIndices'

     extract-methods         Methods for Function 'extract'
     plot-methods            Methods for Function 'plot'
     show3d-methods          Methods for Function 'show3d'
     print-methods           Methods for Function 'print'
     summary-methods         Methods for Function 'summary'

     tensor2medinria         Write Tensor Data as NIFTI File
     medinria2tensor         Read Tensor Data from NIFTI File


_A_u_t_h_o_r(_s):

     Karsten Tabelow tabelow@wias-berlin.de
      Joerg Polzehl polzehl@wias-berlin.de

     Maintainer: Karsten Tabelow tabelow@wias-berlin.de

_R_e_f_e_r_e_n_c_e_s:

     Tabelow, K. and Polzehl, J. and Spokoiny, V. and Voss, H. U.
     (2008) Diffusion Tensor Imaging: Structural adaptive smoothing,
     _NeuroImage_ *39(4)*, 1763-1773.

     Polzehl, J. and Tabelow, K. (2008) Structural Adaptive Smoothing
     in Diffusion Tensor Imaging:  the R package dti, WIAS-Preprint
     1382.

     <URL:  http://www.wias-berlin.de/projects/matheon_a3/>

_E_x_a_m_p_l_e_s:

       ## Not run: demo(dti_art)

