dipy_reslice#

Synopsis#

Reslice data with new voxel resolution defined by new_vox_sz

Usage#

dipy_reslice [OPTIONS] input_files new_vox_size

Input Parameters#

  • input_files

    Path to the input volumes. This path may contain wildcards to process multiple inputs at once.

  • new_vox_size

    new voxel size.

General Options#

  • --order

    order of interpolation, from 0 to 5, for resampling/reslicing, 0 nearest interpolation, 1 trilinear etc.. if you don’t want any smoothing 0 is the option you need. (default: 1)

  • --mode

    Points outside the boundaries of the input are filled according to the given mode ‘constant’, ‘nearest’, ‘reflect’ or ‘wrap’. (default: constant)

  • --cval

    Value used for points outside the boundaries of the input if mode=’constant’. (default: 0)

  • --num_processes

    Split the calculation to a pool of children processes. This only applies to 4D data arrays. Default is 1. If < 0 the maximal number of cores minus num_processes + 1 is used (enter -1 to use as many cores as possible). 0 raises an error. (default: 1)

Output Options#

  • --out_dir

    Output directory. (default: current directory)

  • --out_resliced

    Name of the resliced dataset to be saved. (default: resliced.nii.gz)

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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