Dataset for "Fast high-resolution electric properties tomography using three-dimensional quantitative transient-state imaging-based water fraction estimation"
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1.
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
- 2. IRCCS Stella Maris
- 3. Fondazione IMAGO7
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4.
Fondazione Stella Maris
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5.
University of Pisa
Description
This folders contains data from Cencini et al., NMR in Biomedicine 2024.
If you use these data, please cite:
Cencini, Matteo, et al. "Fast high-resolution electric properties tomography using three-dimensional quantitative transient-state imaging-based water fraction estimation." NMR in Biomedicine 37.1 (2024): e5039.
The data are structured as follows:
- sub-*_hept_sigma_2anat_2acpc_2MNI_brain.nii.gz contains conductivity maps in mS/m obtained from bSSFP data using phase based Helmholtz MR EPT in MNI space
- sub-*_qmap_sigma_2anat_2acpc_2MNI_brain.nii.gz contains conductivity maps in mS/m obtained from MR Fingerprinting data using water content based MR EPT in MNI space
- sub-*_qmap_epsilon_2anat_2acpc_2MNI_brain.nii.gz contains percentage relative permittivity maps obtained from MR Fingerprinting data using water content based MR EPT in MNI space
- BCI-DNI_brain.label_2MNI.nii.gz, ROIs_Michelpaper.nii and ROIs_Michelpaper_lateralized.nii contains parcellation used to perform the analysis in MNI space
Water-ept processing can be performed using code from: https://github.com/FiRMLAB-Pisa/qmr-py/tree/main
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Additional details
Related works
- Is supplement to
- Publication: 10.1002/nbm.5039 (DOI)