EDEN2020 Human Brain MRI Datasets for Healthy Volunteers
Rodriguez y Baena, Ferdinando
High-resolution MR datasets of a cohort of 15 healthy adult subjects acquired on a 3T scanner at the Neuroradiology Unit and CERMAC (Center of Excellence for High Field Magnetic Resonance), Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milano, Italy. The data includes:
T1_3D_PROSET_Sag: T1-weighted volumetric sequence acquired on the sagittal planefor morphological characterization. This sequence demonstrates difference in the T1 relaxation time of tissues and provide excellent contrast between GM and WM.
3D_FLAIR_Tra: Fluid‑Attenuated Inversion Recovery volumetric sequence acquired on the axial planefor morphological characterization. This is an inversion recovery sequence with a long inversion time (TI), which results in removing signal from the cerebrospinal fluid from the images.
SWIp_axial: Susceptibility‑Weighted Imaging sequence acquired on the axial plane.This is a three-dimensional high-spatial resolution Gradient Echo MRI sequence providing excellent contrast for venous vascular modeling.
s3DI_MC_HR: three‑dimensional high‑resolution time‑of‑flight (TOF) MR angiography acquisition to visualize flow within the arterial vessel. It is based on the phenomenon of flow-related enhancement of spins entering into an imaging slice. As a result of being unsaturated, these spins give more signal that surrounding stationary spins.
MIP_s3DI_MC_HR: angiographic 3D visualization of TOF images using the maximum intensity projection (MIP) technique of reconstruction.
raw_data_DTI_32: Diffusion Tensor Imaging raw data. This is a diffusion-weighted Spin Echo EPI single-shot pulse sequence acquired on the axial planealong 32 gradient directions at a b-value of 1000 s/mm2 and one volume without diffusion-weighting (b0 image).
raw_data_NODDI: multi-compartmental dMRI sequence for advanced tractography and NODDI analyses, including an axial high angular resolution diffusion-weighted imaging (HARDI) acquisition along 60 gradient directions at a b-value of 3000 s/mm2,a DTI acquisition along 35 directions at a b-value of 711 s/mm2 and 11 volumes without diffusion-weighting (b0 images). The phase-encoding direction was anterior-to-posterior for all these acquisitions.
B0_reverse: a sequence without diffusion-weighting having the same geometrical parameters of the ‘raw_data_NODDI’ images, but acquired using a reversed phase-encoding direction (posterior-to-anterior). This volume allowed estimation and correction for susceptibility-induced distortions.
‘DTI’ Folder’: This folder contains the DTI-derived parametric maps calculated off-linefrom the ‘raw_data_DTI_32’ acquisition (32 gradient directions, b-value = 1000 s/mm2) and saved in the NIfTI-1 Data Format.
‘HARDI’ Folder: This folder contains the parametric maps calculated off-linefrom the HARDI acquisition (60 gradient directions, b-value = 3000 s/mm2) of the ‘raw_data_NODDI’ sequence. Maps are saved in the NIfTI-1 Data Format.
‘Tractography’ Folder: This folder contains the probabilistic tractography reconstructions of the main white matter fiber tracts, calculated from the HARDI acquisition (60 gradient directions, b-value = 3000 s/mm2) of the ‘raw_data_NODDI’ sequence. Dipy has been used for q-ball residual-bootstrap fiber tracking. The folder contains a minimum number of two pair of tracts for each subjects.
‘NODDI’ Folder: This folder contains the Neurite orientation dispersion and density imaging (NODDI) parametric maps calculated off-line from the ‘raw_data_NODDI’ acquisition (60 gradient directions at b=3000 s/mm2, 35 gradient directions at b=711 s/mm2 and 11 b0 volumes) and saved in the NIfTI-1 Data Format. Maps have been generated using the NODDI Matlab Toolbox (https://www.nitrc.org/projects/noddi_toolbox).