T1wIRtoT1wSR

Calculating T₁-weighted saturation recovery (SR) MRI images for arbitrary values of repetition time (TR) from a set of T₁-weighted inversion recovery (IR) MRI images. Works with Agilent .fid data.

The script can also be used for calculating T₁ and M₀ maps without calculating theoretical images.

I am aware that the script would be more useful if it calculated IR images from SR data as it would allow to save time during the data acquisition. I will gladly create such version when sample SR data is provided.

The user provides the data folder location and a list of desired TR values. If the list is empty, only the parametric maps are calculated. The script automatically imports the data with all the parameters needed and performs computations. The user can change the value of glob_var parameter to save the maps and/or the images in global Python variable for further use (instead of just saving the image files).

The repository contains:

1. Python script T1wIRtoT1wSR.py.
2. Sample FID data in sems2019040707.fid folder.
3. Sample results in Theoretical_MRI folder.
4. Graphical abstract graph_abstr.png.

References

1. Collection of the sample data:

Beata Wereszczyńska, Alcohol-fixed specimens for high-contrast post-mortem MRI, Forensic Imaging, Volume 25, 2021, 200449, ISSN 2666-2256, https://doi.org/10.1016/j.fri.2021.200449. (https://www.sciencedirect.com/science/article/pii/S2666225621000208)

2. The code:

Beata Wereszczyńska, TITEwish (https://github.com/BeataWereszczynska/TITEwish)

License

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.

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