# dipy_reslice

usage: dipy_reslice [-h] [–order int] [–mode str] [–cval float]

[–num_processes int] [–out_dir str] [–out_resliced str] input_files new_vox_size [new_vox_size …]

Reslice data with new voxel resolution defined by new_vox_sz

positional arguments:

input_files Path to the input volumes. This path may contain wildcards to process multiple inputs at once. new_vox_size new voxel size

optional arguments:
-h, --help

show this help message and exit

--order int

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 str

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

--cval float

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

--num_processes int

Split the calculation to a pool of children processes. This only applies to 4D data arrays. If a positive integer then it defines the size of the multiprocessing pool that will be used. If 0, then the size of the pool will equal the number of cores available. (default 1)

output arguments(optional):
--out_dir str

Output directory (default input file directory)

--out_resliced str

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.