Reconstruction#
Below, an overview of all reconstruction models available on DIPY.
Note
Some reconstruction models do not have a tutorial yet
![](../../_images/sphx_glr_reconst_qtiplus_thumb.png)
Applying positivity constraints to Q-space Trajectory Imaging (QTI+)
![](../../_images/sphx_glr_reconst_cti_thumb.png)
Reconstruction of the diffusion signal with the correlation tensor model
![](../../_images/sphx_glr_reconst_shore_thumb.png)
Continuous and analytical diffusion signal modelling with 3D-SHORE
![](../../_images/sphx_glr_reconst_dki_thumb.png)
Reconstruction of the diffusion signal with the kurtosis tensor model
![](../../_images/sphx_glr_reconst_dti_thumb.png)
Reconstruction of the diffusion signal with the Tensor model
![](../../_images/sphx_glr_reconst_forecast_thumb.png)
Crossing invariant fiber response function with FORECAST model
![](../../_images/sphx_glr_histology_resdnn_thumb.png)
Local reconstruction using the Histological ResDNN
![](../../_images/sphx_glr_reconst_dki_micro_thumb.png)
Reconstruction of the diffusion signal with the WMTI model
![](../../_images/sphx_glr_restore_dti_thumb.png)
Using the RESTORE algorithm for robust tensor fitting
![](../../_images/sphx_glr_reconst_fwdti_thumb.png)
Using the free water elimination model to remove DTI free water contamination
![](../../_images/sphx_glr_reconst_csd_thumb.png)
Reconstruction with Constrained Spherical Deconvolution
![](../../_images/sphx_glr_reconst_mapmri_thumb.png)
Continuous and analytical diffusion signal modelling with MAP-MRI
![](../../_images/sphx_glr_reconst_rumba_thumb.png)
Reconstruction with Robust and Unbiased Model-BAsed Spherical Deconvolution
![](../../_images/sphx_glr_reconst_qtdmri_thumb.png)
Estimating diffusion time dependent q-space indices using qt-dMRI