- dipy_gibbs_ringing [-h] [–slice_axis int] [–n_points int]
[–num_threads int] [–out_dir str] [–out_unring str] input_files
Workflow for applying Gibbs Ringing method.
input_files Path to the input volumes. This path may contain wildcards to process multiple inputs at once.
- -h, --help
show this help message and exit
- --slice_axis int
Data axis corresponding to the number of acquired slices. Default is set to the third axis(2). Could be (0, 1, or 2).
- --n_points int
Number of neighbour points to access local TV (see note). Default is set to 3.
- --num_threads int
Number of threads. Only applies to 3D or 4D data arrays. If None then all available threads will be used. Otherwise, must be a positive integer. Default is set to 1.
- --out_dir str
Output directory (default input file directory)
- --out_unring str
Name of the resulting denoised volume (default: dwi_unrig.nii.gz)
Neto Henriques, R., 2018. Advanced Methods for Diffusion MRIData Analysis and their Application to the Healthy Ageing Brain(Doctoral thesis). https://doi.org/10.17863/CAM.29356
Kellner E, Dhital B, Kiselev VG, Reisert M. Gibbs-ringingartifact removal based on local subvoxel-shifts. Magn Reson Med. 2016doi: 10.1002/mrm.26054.
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.