Tool for characterizing the swelling of tablets immersed in a solution. Creates time plots and calculates eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or (properly contrasted, e.g. T2-weighted) MRI images in FDF (file format native for Agilent MRI scanners) or Text Image format. This software is suitable for swelling matrix tablets forming a membrane-like structure in contact with the solution in which they are immersed.
- Python script D_k_from_T2maps.py - the main version of the software.
- Jupyter notebook file notebook_D_k_from_T2maps.ipynb presenting:
- short introduction to the topic in which the software can be usefull,
- input parameters and their meanings,
- how the code works step by step,
- sample results with commentary.
- PDF version of the Jupyter notebook file notebook_D_k_from_T2maps.pdf.
- EXE file for non-coders D_k_from_T2maps_vB_win10.exe (compiled for Windows 10) that can be used simply by double-clicking, taking input parameters from an input file. This program only accepts Text Images as an input (I had troubles compyling a script utilizing itk - python library enabling FDF import). HINT: Most of image files can be converted to Text Image format using ImageJ (https://imagej.nih.gov/ij/download.html). To import FDF files by ImageJ you'll need Multi FDF Opener plugin (https://imagej.nih.gov/ij/plugins/multi-opener.html).
- Python script used for creating the EXE file: D_k_from_T2maps_vB.py.
- Sample input file for D_k_from_T2maps_vB: INPUT-D_k_from_T2maps_vB.txt.
- Sample MRI-derived T2-maps in FDF format in MRI_FDF folder.
- Sample MRI-derived T2-maps in Text Image format in MRI_TXTimages folder.
- Sample results in D_results folder.
- Graphical abstract GraphAbstr.jpg.
The software is licensed under the MIT license. The non-software content of this project is licensed under the Creative Commons Attribution 4.0 International license. See the LICENSE file for license rights and limitations.
MRI_k-space-derived_details_edges - k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (data import suitable for Agilent FID files, three binarization methods to choose from), https://doi.org/10.5281/zenodo.7388435 (https://github.com/BeataWereszczynska/MRI_k-space-derived_details_edges).
square_img_fragments - saving random unique square fragments of an image (located inside or outside defined bounding box) as jpg (https://github.com/BeataWereszczynska/square_img_fragments).