Data set for sub-millimetre MRI tissue class segmentation
Authors/Creators
- 1. Maastricht University
- 2. Brain Innovation BV
Description
Sub-millimetre 7Tesla MRI image data set of the human brain for supervised training of algorithms to perform tissue class segmentation.
The dataset contains preprocessed MRI images (co-registered + bias corrected) and corresponding ground truth labels.
The dataset contains two different acquisitions:
- MPRAGE dataset, based on 5 subjects, with T1w, PDw and T2w images
- MP2RAGE dataset, based on 4 subjects, with inv1, inv2 and me gre images
The following ground truth labels are provided:
[1] white matter
[2] grey matter
[3] cerebrospinal fluid
[4] ventricles
[5] subcortical
[6] vessels
[7] sagittal sinus
Images are saved as nifti files and organized in BIDS format.
This dataset is an extension of the following, initial dataset publication:
* Dataset: A scalable method to improve gray matter segmentation at ultra high field MRI.
The initial dataset is also available as a zenodo repository and can be downloaded from:
https://zenodo.org/record/1206163