This collection of prostate Magnetic Resonance Images (MRIs) was obtained with an endorectal and phased array surface coil at 3T (Philips Achieva). Each patient had biopsy confirmation of cancer and underwent a robotic-assisted radical prostatectomy. A mold was generated from each MRI, and the prostatectomy specimen was first placed in the mold, then cut in the same plane as the MRI. The data was generated at the National Cancer Institute, Bethesda, Maryland, USA between 2008-2010. For scientific inquiries relating to this data set, please contact Drs. Peter L. Choyke (firstname.lastname@example.org) or Baris Turkbey at (email@example.com).
This is a limited access data set. To request access, please contact firstname.lastname@example.org. Once access is granted, you can view and download these images on The Cancer Imaging Archive (TCIA) by logging in and selecting the Prostate-MRI collection. (26 Pathology Images in jpeg format are also available with access request and approval)
Download all or Query/Filter
Images (DICOM, 3.2GB)
Click the Versions tab for more info about data releases.
MR (with some PET/CT)
Number of Patients
Number of Studies
Number of Series
Number of Images
Image Size (GB)
Citations & Data Usage Policy
This is a limited access data set. Upon receiving access you may only use it for the purposes outlined in your request to the data provider. You are not allowed to redistribute the data or use it for other purposes. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to email@example.com.
Please be sure to include the following citations in your work if you use this data set:
Smith K, Clark K, Bennett W, Nolan T, Kirby J, Wolfsberger M, Moulton J, Vendt B, Freymann J. Data From PROSTATE-MRI. http://dx.doi.org/10.7937/K9/TCIA.2016.6046GUDv
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)
Powered by a free Atlassian Confluence Open Source Project License granted to University of Arkansas for Medical Sciences (UAMS), College of Medicine, Dept. of Biomedical Informatics. Evaluate Confluence today.