This image collection was created as a companion data set to augment the larger REMBRANDT project. It consists of 130 cases of magnectic resonance (MR) multi-sequence images of pre-surgical brain tumor patients; including cases of glioblastoma, astrocytomas, and oligodendrogliomas from the REMBRANDT patient population.

For scientific inquiries about the VASARI feature set or corresponding analysis, please contact Adam Flanders at



Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, 9.9GB)
Clinical Data (XLS)
VASARI_MR_featurekey4 (pdf)
VASARI_MRI_features (gmdi-wiki) (XLS)

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Updated 09/12/2014



Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size (GB)9.9



The patients in TCIA can be matched by subject identifier with the extensive clinical, gene, and expression data of the same case available from the REMBRANDT Data Portalto research the link between radiological phenotype and tissue genotype. In addition, there are imaging feature characterizations provided by neuroradiologists from Thomas Jefferson University (TJU) Hospital. This feature set has become known as "VASARI" and became the starting point for the The Cancer Genome Archive (TCGA) Glioma Phenotype Research Group efforts, which is utilizing data from the TCGA-GBM and TCGA-LGG collections.


Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to

Please be sure to include the following citations in your work if you use this data set:

The Cancer Imaging Archive Team. Data From QIN-Breast. DOI is MISSING

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

Version 1 (Current): Updated 2015/09/04

Data TypeDownload all or Query/Filter
Images (DICOM, 9.9GB) 
Clinical Data (XLS)
VASARI_MR_featurekey4 (pdf)
VASARI_MRI_features (gmdi-wiki) (XLS)