Pinned

1. TI_TE_wish TI_TE_wish Public

   Simulating T1- and T2-weighted MRI images with arbitrary values of TI or TE, respectively. (Python 3)

   Python

2. TIandTE_wish TIandTE_wish Public

   Calculating theoretical MRI images with both TI (T1-weighting) and TE (T2-weighting) of choice, from separate T1-weighted and T2-weighted sets of images. (Python 3)

   Python

3. T1wIR_to_T1wSR T1wIR_to_T1wSR Public

   Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)

   Python

4. MRI_k-space-derived_details_edges MRI_k-space-derived_details_edges Public

   k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (on the example of Agilent FID data). (Python 3)

   Python

5. k-space_wght_msk_for_MRI_denoising k-space_wght_msk_for_MRI_denoising Public

   k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the exampl…

   Python

6. Swelling_tablet_fronts_D_k_from_MRI_T2_or_img Swelling_tablet_fronts_D_k_from_MRI_T2_or_img Public

   Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)

   Jupyter Notebook