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 or other inquiries relating to this data set, please contact the TCIA Helpdesk.
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|Images (DICOM, 3.2GB)|
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MR (with some PET/CT)
Number of Participants
Number of Studies
Number of Series
Number of Images
|Image Size (GB)||3.2|
Citations & Data Usage Policy
Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:
Choyke P, Turkbey B, Pinto P, Merino M, Wood B. (2016). Data From PROSTATE-MRI. The Cancer Imaging Archive. http://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)
Other Publications Using This Data
- Mayer, R., Simone II, C. B., Turkbey, B., & Choyke, P. (2021). Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 10, pp. 4235–4244). AME Publishing Company. https://doi.org/10.21037/qims-21-24
- Mayer, R., Simone II, C. B., Turkbey, B., & Choyke, P. (2021). Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 1, pp. 119–132). AME Publishing Company. https://doi.org/10.21037/qims-20-137a
- Mayer, R., Simone, C. B., II, Skinner, W., Turkbey, B., & Choykey, P. (2018). Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. In Computers in Biology and Medicine (Vol. 94, pp. 65–73). Elsevier BV. https://doi.org/10.1016/j.compbiomed.2018.01.003
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