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location | https://doi.org/10.7937/K9/TCIA.2016.6046GUDv |
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Summary
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
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active | true |
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title | Data Access |
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| Data Access |
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Type | Download all or Query/Filter | License |
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Images (DICOM, 3.2GB) |
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Click the Versions tab for more info about data releases.
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url | https://wiki.cancerimagingarchive.net/download/attachments/3277260/PROSTATE-MRI-5-18-2018-doiJNLP-dKJJAqnS.tcia?version=1&modificationDate=1534786953393&api=v2 |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=PROSTATE-MRI |
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(Download requires the NBIA Data Retriever) | | Histopathology Images (JPEG, 206MB) |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjU1NiIsInBhc3Njb2RlIjoiNjBhNDEwNzIyZTczODkzOTE0MjEzNjUxZGI2OWExOGM0MWM5MDY1NiIsInBhY2thZ2VfaWQiOiI1NTYiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0= |
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label | Search |
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url | https://pathdb.cancerimagingarchive.net/imagesearch?f[0]=collection:prostate_mri |
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(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | |
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title | Detailed Description |
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| Detailed Description |
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Participants | 26 | 26 | Number of Studies | 26 | 26 | Number of Series | 182 | 26 | Number of Images | 22,036 |
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26 | Image Size | 3.2 GB | 206 MB |
Note from the investigators: The DICOM elements for these values may no longer exist within the files themselves but: the b values are 0, 188, 375, 563, 750 for the diffusion weighted MRI of that dataset.
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy |
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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 help@cancerimagingarchive.net.
Please be sure to include the following citations in your work if you use this data set:
Tcia limited license policy |
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Info |
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| 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). |
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The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository |
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. In Journal of Digital Imaging |
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manuscript you'd like to add |
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please contact TCIA's Helpdesk. Below is a list of such publications using this Collection: - 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
- Ciga, O., Xu, T., & Martel, A. L. (2022). Self supervised contrastive learning for digital histopathology. Machine Learning with Applications, 7. doi:10.1016/j.mlwa.2021.100198
- Du, R., & Vardhanabhuti, V. (2020, 06-08 July 2020). 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. Paper presented at the Third Conference on Medical Imaging with Deep Learning (MIDL 2020), Montréal, QC, Canada.
- Elkhader, J. A. (2022). An Integrative Approach to Drug Development Using Machine Learning. (Ph. D. Dissertation). Weill Medical College of Cornell University ProQuest Dissertations Publishing, Available from TCIA 10.7937/k9tcia.2017.murs5cl ; 10.7937/K9/TCIA.2016.6046GUDV database. (29390845)
- Namakshenas, P., & Mojra, A. (2021). Optimization of polyethylene glycol-based hydrogel rectal spacer for focal laser ablation of prostate peripheral zone tumor. Physica Medica, 89, 104-113. doi:10.1016/j.ejmp.2021.07.034
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Localtab |
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| Version 1 (Current): Updated 2011/06/30
Data Type | Download all or Query/Filter |
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Images (DICOM, 3.2GB) | |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3277260/PROSTATE-MRI-5-18-2018-doiJNLP-dKJJAqnS.tcia?version=1&modificationDate=1534786953393&api=v2 |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=PROSTATE-MRI |
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(Download requires the NBIA Data Retriever |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjU1NiIsInBhc3Njb2RlIjoiNjBhNDEwNzIyZTczODkzOTE0MjEzNjUxZGI2OWExOGM0MWM5MDY1NiIsInBhY2thZ2VfaWQiOiI1NTYiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0= |
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label | Search |
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url | https://pathdb.cancerimagingarchive.net/imagesearch?f[0]=collection:prostate_mri |
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(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) |
Update May 2018: The download of these data is no longer Limited to users with specific permission from the PIs of the Collection. |
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