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ZENODO
Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
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EDEN2020 Human Brain MRI Datasets for Brain Glioma Patients

Authors: Castellano, Antonella; Pieri, Valentina; Galvan, Stefano; Iadanza, Antonella; Riva, Marco; Bello, Lorenzo; Rodriguez y Baena, Ferdinando; +1 Authors

EDEN2020 Human Brain MRI Datasets for Brain Glioma Patients

Abstract

The datasets available in this folder regard the acquisition of high-resolution MRI images of a cohort of 30 brain glioma adult patients acquired on a 3 Tesla Philips scanner at the Neuroradiology Unit and CERMAC (Center of Excellence for High Field Magnetic Resonance), Vita-Salute San Raffaele University and IRCCS Ospedale San Raffaele, Milano, Italy. The acquisition is carried out in the context of the EU’s Horizon EDEN2020 project as part of the work for Deliverable D2.2 Human Brain Imaging Database. Histopathological and molecular details of this cohort of patients are reported in the Patients' Table included in the Readme.md file. The data includes: 3D_FLAIR_Tra: Fluid‑Attenuated Inversion Recovery volumetric sequence acquired on the axial plane for morphological characterization of the lesion. 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 plane along 32 gradient directions at a b-value of 1000 s/mm2 and one volume without diffusion-weighting (b0 image). Axial (AD), Radial (RD), Mean Diffusivity (MD) and Fractional Anisotropy maps derived from 'raw_data_DTI_32' sequence using the Philips IntelliSpace Portal software platform, version 8.0 (Philips Healthcare, Best, The Netherlands) and saved using the ‘_map_DTI_32_gray' suffix. 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). 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. SWI_axial: Susceptibility‑Weighted Imaging sequence acquired on the axial plane for detection of Intratumoral Susceptibility Signals (ITSS), microhemorrages and calcifications. Phase map and magnitude image are separated in two distinguished files, using the ‘_ph’ suffix for phase maps. s3DI_MC_HR: three-dimensional high-resolution time of flight (TOF) MR angiography acquisition to visualize flow within the arterial vessel. Post-gadolinium T1_3D_PROSET_Sag: T1-weighted volumetric sequence acquired on the sagittal plane for morphological characterization of the lesions and detection of areas of contrast enhancement. Note that all MRI data files were converted from DICOM series using Chris Rorden's dcm2niiX version v1.0.20200331.

{"references": ["Pieri V., Sanvito F., Riva M., Petrini A., Rancoita P.M.V., Cirillo S., Iadanza A., Bello L., Castellano A., & Falini A. (2021). Along-tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors. Hum Brain Mapp, 42(5), 1268-1286. doi:10.1002/hbm.25291"]}

Keywords

NODDI, DTI, HARDI, Brain, Glioma, MRI

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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