SHCoefficientsRotate
====================

.. code-block:: none

  
  USAGE: 
  
     SHCoefficientsRotate  [--returnparameterfile <std::string>]
                           [--processinformationaddress <std::string>]
                           [--xml] [--echo] [--nt <int>] [--vFromTo
                           <std::vector<double>>] [--] [--version] [-h]
                           <std::string> <std::string>
  
  
  Where: 
  
     --returnparameterfile <std::string>
       Filename in which to write simple return parameters (int, float,
       int-vector, etc.) as opposed to bulk return parameters (image,
       geometry, transform, measurement, table).
  
     --processinformationaddress <std::string>
       Address of a structure to store process information (progress, abort,
       etc.). (value: 0)
  
     --xml
       Produce xml description of command line arguments (value: 0)
  
     --echo
       Echo the command line arguments (value: 0)
  
     --nt <int>
       Number of threads. If it not positive, then the default number for
       multiple threads is used. (value: -1)
  
     --vFromTo <std::vector<double>>
       Two 3D vector to determine the rotation matrix. It contains 6 float
       numbers in Catesian format or 4 float numbers in spherical format.
  
     --,  --ignore_rest
       Ignores the rest of the labeled arguments following this flag.
  
     --version
       Displays version information and exits.
  
     -h,  --help
       Displays usage information and exits.
  
     <std::string>
       (required)  Vector image that contains the SH coefficients.
  
     <std::string>
       (required)  Vector image that will contain the rotated SH
       coefficients.
  
  
     Description: Spherical Harmonics Rotation. 
  
     Examples: 
  
     SHCoefficientsRotate odf.nii.gz odf_rotated.nii.gz --vFromTo 1,1,0,1,0,0
     
  
     SHCoefficientsRotate odf.nii.gz odf_rotated.nii.gz --vFromTo 90,45,90,0 
     
  
     Reference: 
  
     Jian Cheng, Peter J. Basser, 'Director Field Analysis (DFA): Exploring
     Local White Matter Geometric Structure in diffusion MRI', Medical Image
     Analysis, 2017.
  
     Author(s): Jian Cheng (jian.cheng.1983@gmail.com)