Prostate-3T | Prostate-3T
DOI: 10.7937/K9/TCIA.2015.QJTV5IL5 | Data Citation Required | 1.6k Views | 15 Citations | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated | |
|---|---|---|---|---|---|---|---|---|
| Prostate | Human | 64 | MR, Segmentation | Prostate Cancer | Image Analyses | Complete | 2013/05/31 |
Prostate transversal T2-weighted magnetic resonance images (MRIs) acquired on a 3.0T Siemens TrioTim using only a pelvic phased-array coil were acquired for prostate cancer detection. The data was provided to TCIA as part of an ISBI challenge competition in 2013.
Detailed Description
Metadata
On some cases in this collection segmentations are available. The segmentations were constructed using MeVisLab (http://www.mevislab.de).
- NCI_ISBI_Challenge-Prostate3T_Training_Segmentations.zip – Segmentations of central gland and the peripheral zone. More information about the nature of these segmentations can be found on the NCI-ISBI 2013 Challenge – Automated Segmentation of Prostate Structures page.
- Prostate3T_Training_Segmentations.zip – Segmentations of the neurovascular bundle and seminal vessicles are available as MHA files. These were provided as part of a planned follow up competition that did not materialize.
Data Access
Version 1: Updated 2013/05/31
Downloads require the NBIA Data Retriever.
| Title | Data Type | Format | Access Points | Subjects | License | Metadata | |||
|---|---|---|---|---|---|---|---|---|---|
| Images | MR | DICOM | Download requires NBIA Data Retriever |
59 | 59 | 59 | 1,161 | CC BY 3.0 | View |
| Seminal vesicles (SV) and neurovascular bundle (NVB) Segmentations | Segmentation | MHA and ZIP | CC BY 3.0 | — | |||||
| NCI ISBI Challenge - Segmentations of central gland and the peripheral zone | Segmentation | NRRD and ZIP | CC BY 3.0 | — |
External Resources
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.
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
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Litjens, Geert, Futterer, Jurgen, & Huisman, Henkjan. (2015). Data From Prostate-3T. The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2015.QJTV5IL5 |
Related Publications
Publications by the Dataset Authors
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No other publications were recommended by dataset authors.
Research Community Publications
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