dipy_apply_transform#
Usage#
dipy_apply_transform [-h] [–transform_type str] [–out_dir str] [–out_file str] static_image_files moving_image_files transform_map_file
Positional Arguments#
static_image_files Path of the static image file. moving_image_files Path of the moving image(s). It can be a single image or a folder containing multiple images. transform_map_file For the affine case, it should be a text(*.txt) file containing the affine matrix. For the diffeomorphic case, it should be a nifti file containing the mapping displacement field in each voxel with this shape (x, y, z, 3, 2).
- options:
- -h, --help
show this help message and exit
- --transform_type str
Select the transformation type to apply between ‘affine’ or ‘diffeomorphic’.
Output Arguments(Optional)#
- --out_dir str
Directory to save the transformed files (default current directory).
- --out_file str
Name of the transformed file. It is recommended to use the flag –mix-names to prevent the output files from being overwritten.
References#
Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.