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.

--mode str

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

--cval float

Value used for points outside the boundaries of the input if mode=’constant’.

--num_processes int

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.

Output Arguments(Optional)

--out_dir str

Output directory. (default current directory)

--out_resliced str

Name of the resliced dataset to be saved.

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.