Repository of simulation data for paper "Global Sensitivity Analysis of Skeletal Muscle dMRI Metrics: Effects of Microstructural and Pulse Parameters" in Magnetic Resonance in Medicine. Paper may be found here.
Results for the PGSE sequence are in sensitivity_results-PGSE.csv and the generalized diffusion-weighted sequence (or STEAM) results are in sensitivity_results-genDW.csv.
To read into a multiindex pandas dataframe in python use the command:
df = pd.read_csv('sensitivity_results-XXXX.csv',header=[0, 1], skipinitialspace=True)
To generate sensitivity indices, you can use the included python notebook. You will need to install the SALib package. More info @ https://salib.readthedocs.io/en/latest/.
If this data leads to a publication, please cite:
Naughton, NM, Georgiadis, JG. Global sensitivity analysis of skeletal muscle dMRI metrics: Effects of microstructural and pulse parameters. Magn Reson Med. 2019; 00: 1– 13. https://doi.org/10.1002/mrm.28014
@article{Naughton2020MRM,
author = {Naughton, Noel M. and Georgiadis, John G.},
title = {Global sensitivity analysis of skeletal muscle dMRI metrics: Effects of microstructural and pulse parameters},
journal = {Magnetic Resonance in Medicine},
volume = {83},
number = {4},
pages = {1458-1470},
doi = {10.1002/mrm.28014},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.28014},
year = {2020}
}
If you have any questions about the data, please contact Noel ([email protected])