Description
This dataset include multiparametric MRI brain images and susceptiblity-based radiomic features within a mixed sample of 100 patients with multiple sclerosis and 50 healthy controls. We focused on the normal appearing white matter and its tracts.
Imaging and radiomic data are organized according to the Brain Imaging Directory Structure (BIDS) and for each subjects the following data are provided: anatomical T1w and T2w images; DWI after the correction for EPI distortions and susceptibility effects, eddy currents, and signal dropout, b-values and b-vectors and registration matrix to T1w; QSM QSM reconstruction, already registered in T1w space, raw magnitude and phase maps for the 5 echo times and registration matrix to T1w; volumes of interest (normal appearing white matter and tracts, divided for the two hemispheres); 107 radiomic features for each volume of interest. All images were anonymized and de-identified.
Additionally, in the database there is the ‘code’ folder containing the available scripts used for the processing (image registration, radiomic feature extraction, and robustness evaluation) and the participants file (containing for each subject the ID number, age, sex, date of scan, clinical condition (‘HC’ and ‘MS’) and the of the DWI sequence used, i.e. single- or multi-shell) and the dataset description.
Data were provided by the Functional and Molecular Neuroimaging Unit at IRCCS Istituto delle Scienze Neurologiche di Bologna, Italy. Here (https://doi.org/10.5281/zenodo.11278906) you can find the Data Use Agreement (DUA) to sign before using the dataset, together with the instructions to have the access.
More details about image acquisition and processing may be found in Fiscone et al. (2024) Multiparametric MRI database for susceptibility-based radiomic feature extraction and analysis, Scientific Data. Please cite this paper if you use this dataset for publications or presentations. For any further information, please email [email protected], [email protected] or [email protected].
Imaging and radiomic data are organized according to the Brain Imaging Directory Structure (BIDS) and for each subjects the following data are provided: anatomical T1w and T2w images; DWI after the correction for EPI distortions and susceptibility effects, eddy currents, and signal dropout, b-values and b-vectors and registration matrix to T1w; QSM QSM reconstruction, already registered in T1w space, raw magnitude and phase maps for the 5 echo times and registration matrix to T1w; volumes of interest (normal appearing white matter and tracts, divided for the two hemispheres); 107 radiomic features for each volume of interest. All images were anonymized and de-identified.
Additionally, in the database there is the ‘code’ folder containing the available scripts used for the processing (image registration, radiomic feature extraction, and robustness evaluation) and the participants file (containing for each subject the ID number, age, sex, date of scan, clinical condition (‘HC’ and ‘MS’) and the of the DWI sequence used, i.e. single- or multi-shell) and the dataset description.
Data were provided by the Functional and Molecular Neuroimaging Unit at IRCCS Istituto delle Scienze Neurologiche di Bologna, Italy. Here (https://doi.org/10.5281/zenodo.11278906) you can find the Data Use Agreement (DUA) to sign before using the dataset, together with the instructions to have the access.
More details about image acquisition and processing may be found in Fiscone et al. (2024) Multiparametric MRI database for susceptibility-based radiomic feature extraction and analysis, Scientific Data. Please cite this paper if you use this dataset for publications or presentations. For any further information, please email [email protected], [email protected] or [email protected].
| Date made available | 5 Apr 2024 |
|---|---|
| Publisher | Zenodo |
| Temporal coverage | Nov 2018 - Aug 2023 |
| Date of data production | Nov 2020 - Aug 2023 |
| Geographical coverage | Bologna, Italy |