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.

• --mode

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

• --cval

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

• --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.

Output Options

• --out_dir

  Output directory. (default current directory)

• --out_resliced

  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.