SamplingSchemeQSpaceIMOCEstimation ================================== .. code-block:: none USAGE: SamplingSchemeQSpaceIMOCEstimation [--returnparameterfile ] [--processinformationaddress ] [--xml] [--echo] [--debug] [--weight ] [--tessOrder ] [--minChange ] [--fineOrientations ] [--numberOfSamples >] [--] [--version] [-h] Where: --returnparameterfile 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 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) --weight Weight for single shell term, 1-weight for mutiple shell term. (value: 0.5) --tessOrder Tessellation order for the fine orientations (no more than 7). (value: 7) --minChange Minimal change percentage of the angles in iterations. (value: 0.0001) --fineOrientations A given fine orientations. It overrides --tessOrder --numberOfSamples > number of samples in single/multiple shells. --, --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. (required) Output orientation file(s), single shell or multiple shells. Description: Single and multi-shell sampling scheme estimation using Iterative Maximum Overlap Construction (IMOC). Examples: SamplingSchemeQSpaceIMOCEstimation grad.txt --numberOfSamples 28,28,28 --tessOrder 7 SamplingSchemeQSpaceIMOCEstimation grad.txt --numberOfSamples 30 --tessOrder 7 SphereTessellator --tessorder 8 --hemisphere grad_t8.txt SamplingSchemeQSpaceIMOCEstimation grad.txt --numberOfSamples 60,90 --fineOrientations grad_t8.txt 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.