Calgary-Campinas Public Brain MR Dataset
A collaborative effort between researchers at the Vascular Imaging Lab located at the University of Calgary and the Medical Image Computing Lab located at the University of Campinas (UNICAMP) originated the Calgary Campinas public brain magnetic resonance (MR) images dataset. The dataset was first released with the following publication:
- Souza, Roberto, Oeslle Lucena, Julia Garrafa, David Gobbi, Marina Saluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, and Roberto Lotufo. "An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement." NeuroImage(2017).
If you use this dataset in your experiments, we ask you to kindly cite in your research the above mentioned paper.
- We are launching a MR image reconstruction challenge
- MR Raw data is now available on the dataset!
- New preprint using our datasets posted at arXiv:
The goal of this dataset is that the scientific community use it to develop innovative and fast big data (i.e. deep learning) models to reconstruct, process and analyze brain magnetic resonance (MR) images. The key for developing big data applications is to have good data and representative of the variability we encounter in real applications. In the initial Calgary-Campinas (CC) dataset release we provided T1 volumes acquired in 359 subjects on scanners from three different vendors (GE, Philips, and Siemens) and at two magnetic field strengths (1.5 T and 3 T). The scans correspond to older adult subjects. The second dataset release included raw MR data.