PCG_unwrap_2D(ph_ni​i, ph_file, mask_nii, max_iter, epsi_con, N)

2D weighted Laplace unwrapping with preconditioned conjugate gradient algorithm
684 téléchargements
Mise à jour 14 juin 2016

Afficher la licence

This phase unwrapping algorithm is based on the theory and c++ code from: "Two-Dimensional Phase Unwrapping, Theory, Algorithms, and Software" written by Dennis C. Ghiglia and Mark D. Pritt
This program uses weighted least-squares phase unwrapping technique (i.e. weighted Laplace unwrapping) with a solution using iterative algorithm, namely preconditioned conjugate gradient (PCG).
In order to get rid of the residual phase ambiguities after unwrapping process (which occur for all least-squares approaches) a congruence operation is applied.

In order to run this script the following files from MATLAB exchange server are required:

1) http://de.mathworks.com/matlabcentral/fileexchange/8797-tools-for-nifti-and-analyze-image
2) https://de.mathworks.com/matlabcentral/fileexchange/30853-field-mapping-toolbox/content/vector.m
3) http://www.mathworks.com/matlabcentral/fileexchange/25634-fast--n-easy-smoothing/content/smoothn.m
4) http://de.mathworks.com/matlabcentral/fileexchange/26040-dct-and-dst--+-inverse--in-arbitrary-dimension/content/dctn.m

Citation pour cette source

Barbara Dymerska (2024). PCG_unwrap_2D(ph_nii, ph_file, mask_nii, max_iter, epsi_con, N) (https://www.mathworks.com/matlabcentral/fileexchange/57666-pcg_unwrap_2d-ph_nii-ph_file-mask_nii-max_iter-epsi_con-n), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2013a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Publié le Notes de version
1.0