USAGE:
MeanDiffusivityEstimator [--returnparameterfile <std::string>]
[--processinformationaddress <std::string>]
[--xml] [--echo] [--debug] [-p] [--nt <int>]
[--mask <std::string>] [--ra <int>] [--sh
<int>] [--] [--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)
--debug
debug (value: 0)
-p, --progress
show progress of processing (value: 0)
--nt <int>
Number of threads. If it not positive, then the default number for
multiple threads is used. (value: -1)
--mask <std::string>
Mask file.
--ra <int>
Rank for radial basis. (value: 1)
--sh <int>
Rank for SH basis. (value: 4)
--, --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) Text file that contains b values, gradient orientations,
and DWI images.
<std::string>
(required) Output Image File where each voxel is a scalar MD value.
Description: Estimate Mean Diffusivity in each voxel.
Examples:
MeanDiffusivityEstimator dwi.txt D_sh4_ra1.nii.gz --sh 4 --ra 1
Reference:
Jian Cheng, Aurobrata Ghosh, Rachid Deriche, Tianzi Jiang, 'Model-Free,
Regularized, Fast, and Robust Analytical Orientation Distribution
Function Estimation', Medical Image Computing and Computer-Assisted
Intervention (MICCAI'10), vol. 6361, pp. 648–656, sep, 2010.
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid Deriche, 'Model-free
and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion
MRI', Medical Image Computing and Computer-Assisted Intervention
(MICCAI'10), vol. 6361, pp. 590–597, sep, 2010.
Author(s): Jian Cheng (jian.cheng.1983@gmail.com)
Acknowledgements: Thank you everyone.