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.
- options:
- -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 + 1is 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.