IVIM model fitting

The package provides functions for Bayesian and segmented IVIM model fitting
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Aggiornato 22 giu 2022

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

Cita come

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

Compatibilità della release di MATLAB
Creato con R2019b
Compatibile con qualsiasi release
Compatibilità della piattaforma
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Versione Pubblicato Note della release
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