IVIM model fitting

Version 1.2.2 (24,8 Mo) par Oscar Jalnefjord
The package provides functions for Bayesian and segmented IVIM model fitting
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Mise à jour 22 juin 2022

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Enabled use of no mask by setting roi to an empty variable like '' or []

Citation pour cette source

Gustafsson, Oscar et al. Impact of prior distributions and central tendency measures on Bayesian intravoxel incoherent motion model fitting. Magn Reson Med . 2018;79:1674–1683

Jalnefjord, Oscar et al. Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f). MAGMA . 2018;31:715–723

Compatibilité avec les versions de MATLAB
Créé avec R2019b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.2.2

Enabled use of no mask
1.2.1

Bug fix
1.2.0.2

Bug fix: the type of the output maps was previously dependent on the type of the input images
1.2.0.1

Corrected a typo in the examples
1.2

Included a wrapper to enable simple read and write to nifti files
1.1.0.1

Updated citation information
1.1.0.0

New:
- Function for nonlinear least-squares segmented IVIM model fitting (vectorized for improved performance)
- Script with examples on how to use the model fitting functions

Updates:
- Minor bugs fixes and changes for improved usability
1.0.0.0

Added image