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This collection consists of magnetic resonance images (MRI) of genetically engineered mouse models (GEMMs) of high grade astrocytoma, including glioblastoma multiforme (GBM).

In these GEMMs, the most commonly disregulated networks in GBM -- RB, KRAS and/or PI3K signaling -- are perturbed at the genetic level.  These genetic aberrations induce development of high grade astrocytoma in the mouse with properties similar to that of human disease.  MRI was used to perform a qualitative and quantitative phenotypic characterization of the different genotypes and molecular subtypes.  Additionally, mouse MRI images were compared human GBM imaging parameters using the VASARI lexicon.  The MRI data contained herein includes anatomic T2 weighted images and dynamic contrast enhanced MRI.

For scientific or other inquiries about this dataset, please contact TCIA's Helpdesk.


  We would like to acknowledge the individuals and institutions that have provided data for this collection:

  •   National Cancer Institute (Frederick, Maryland) - Special thanks to Sunny Jansen, PhD  from the Department of  Mouse Cancer Genetics Program.

Data Access

Data TypeDownload all or Query/FilterLicense
Images (DICOM, 2.0 GB)


(Download requires the NBIA Data Retriever)

Click the Versions tab for more info about data releases.

Additional Resources for this Dataset

The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.

Detailed Description

Collection Statistics



Number of Participants


Number of Studies


Number of Series


Number of Images


Images Size (GB)2.0 GB

A presentation about this data set can be found at:  Sunny_jansen_NBIA_mouseGBM_update_ICR_508.ppt .

Citations & Data Usage Policy 

Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

Data Citation

Jansen, Sunny, & Van Dyke, Terry. (2015). TCIA Mouse-Astrocytoma Collection (Mouse-Astrocytoma) [Data set]. The Cancer Imaging Archive.

TCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. PMCID: PMC3824915

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. If you have a manuscript you'd like to add, please contact TCIA's Helpdesk.

Version 1 (Current): Updated 2017/03/21

Data TypeDownload all or Query/Filter
Images ( 2.0 GB)


(Download requires the NBIA Data Retriever)


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