dipy_apply_transform#

Usage#

dipy_apply_transform [OPTIONS] static_image_files moving_image_files transform_map_file

Input Parameters#

  • 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).

General Options#

  • --transform_type

    Select the transformation type to apply between ‘affine’ or ‘diffeomorphic’.

Output Options#

  • --out_dir

    Directory to save the transformed files (default current directory).

  • --out_file

    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.

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