USAGE:
SamplingSchemeQSpace1OptEstimation [--returnparameterfile
<std::string>]
[--processinformationaddress
<std::string>] [--xml] [--echo] [-v
<int>] [--weight <double>]
[--criteria <DISTANCE
|ELECTROSTATIC>] [--tessOrder <int>]
[--fineOrientations <std::string>]
[--initial
<std::vector<std::string>>] [--]
[--version] [-h] <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)
-v <int>, --verbose <int>
Verbose level. 0: no output log. 1: normal log. 2: large log. (value:
1)
--weight <double>
Weight for single shell term, 1-weight for mutiple shell term. (value:
0.5)
--criteria <DISTANCE|ELECTROSTATIC>
Criteria Type. (value: DISTANCE)
--tessOrder <int>
Tessellation order for the fine orientations. (value: 7)
--fineOrientations <std::string>
A given fine orientations. It overrides --tessOrder
--initial <std::vector<std::string>>
A given single or multi-shell scheme (vector of file names) for an
intialization.
--, --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) Output orientation file(s), single shell or multiple
shells.
Description: 1-Opt estimation for single and multiple shell sampling
scheme
Examples:
SamplingSchemeQSpace1OptEstimation grad_28x3_IMOC1Opt.txt --initial
grad_28x3_IMOC_shell1.txt,grad_28x3_IMOC_shell2.txt
,grad_28x3_IMOC_shell3.txt --tessOrder 7 -v 2
Reference:
Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser, 'Single- and
Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using
Spherical Codes', IEEE Transactions on Medical Imaging (TMI),
2017.
Author(s): Jian Cheng (jian.cheng.1983@gmail.com)
Acknowledgements: Thank you everyone.