Calgary-Campinas Public Brain MR Dataset
The Calgary-Campinas Public Brain MR dataset is the result of a collaborative effort between researchers at the Vascular Imaging Lab
located at the University of Calgary
and MICLab. 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)
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 dataset is constantly being updated with new images and annotations for different brain structures. For more details and to download the dataset, please go to:
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