five

An open relaxation-diffusion MRI dataset in neurosurgical studies

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OpenNeuro2024-01-04 更新2026-03-14 收录
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An open relaxation-diffusion MRI dataset in neurosurgical studies The MRI data was collected from 18 patients (including glioma, meningioma, diffuse large B-cell, multiple sclerosis, cortical cerebral infarction, and brain abscess) and two healthy individuals (11 females and 9 males; age range: 28.0 - 70.0 years; median age: 51.0 years; IQR: 21.5 years). The rdMRI data is acquired on a 3T Philips MRI scanner with 7 TEs (two healthy individuals has only 5 TEs, sub-05 and sub-15). All participants provided written informed consent before participation and signed informed consent regarding publishing their data. The Research Ethics Committee, Faculty of Medicine in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China approved the study protocols. ### Contact information: - Name: Ye Wu - Email: dr.yewu@outlook.com ### Of all subjects the following data were acquired: - T1-weighted three-dimensional (3D) turbo field-echo (TFE) anatomical scan (anat) - multi-echo multi-shell HARDI diffusion-weighted MRI (dwi, acq=PA) - ses-01: TE=75ms, Delta=35.9ms, delta=19.9ms - ses-02: TE=85ms, Delta=40.9ms, delta=24.9ms - ses-03: TE=95ms, Delta=45.9ms, delta=29.9ms - ses-04: TE=105ms, Delta=50.9ms, delta=34.9ms - ses-05: TE=115ms, Delta=55.9ms, delta=39.9ms - ses-06: TE=125ms, Delta=60.9ms, delta=44.9ms - ses-07: TE=135ms, Delta=65.9ms, delta=49.9ms - demographic information ### The "derivatives" folder contains: - dwipreproc, preprocessed dwi dataset - anatpreproc, preprocessed anat dataset, and tissue segmentation obtained with the SynthSeg toolbox described here https://doi.org/10.1016/j.media.2023.102789 and https://doi.org/10.1073/pnas.2216399120. - freesurfer, cortical parcellation generated by Freesurfer v7.3.2 - dwiqc, quality assessment of dwi dataset, implemented with https://dsi-studio.labsolver.org/ and https://github.com/pnlbwh/SlicerDiffusionQC. - anatqc, quality assessment of anat dataset, implemented with https://github.com/pnlbwh/structuralQC - pathlogy, tumor pathology images
创建时间:
2024-01-04
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