Database

This database 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. In the folder, you find the 'participants.xlsx' file with time of the scan, age, sex, and clinical condition ('HC' and 'MS') for each subject, and a Python script for radiomic features extraction. Imaging and radiomic data - from folder 'data1' to folder 'data10' - 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. More details about image acquisition and processing may be found in Fiscone et al., 'Multiparametric MRI database for susceptibility-based radiomic feature extraction and analysis', currently under peer-review from Scientific Data. For further details please email [e-mail] and [e-mail].