Child pages
  • PROSTATEx Zone Segmentations (PROSTATEx-Seg-Zones)

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Summary

Excerpt
Example case in axial and sagittal view with corresponding zone segmentation. The 4-class segmentation consists of peripheral zone (pink), transitional zone (yellow), anterior fibromuscular stroma (blue)  and distal prostatic urethra (brown)

This collection contains prostate’s zonal segmentation for 98 cases randomly selected from the SPIE-AAPM-NCI PROSTATEx Challenges (PROSTATEx). The four-class segmentation encompasses the peripheral zone, transition zone, fibromuscular stroma and the distal prostatic urethra. As underlying images, we used transversal T2w scans. Segmentations were created by a medical student with experience in prostate segmentation and an expert urologist who instructed the student and double-checked the segmentations in the end. The DICOM representation of these segmentations were generated with dcmqi.

Acknowledgements

This work has been funded by the EU and the federal state of Saxony-Anhalt, Germany under grant number ZS/2016/08/80388. We would like to thank the authors of the PROSTATEx challenge for providing this valuable dataset.

Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download  button to save a ".tcia" manifest file to your computer, which you must open with the  NBIA
Data
Retriever.
Data
TypeDownload all or Query/Filter

License

Segmentations (DICOM, 143 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20manifest_20201125.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/
25
01/2020-11/
25
06/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES


(Requires NBIA Data Retriever.)

Tcia cc by 3

Click the Versions tab for more info about data releases.

Collections Used in this Third Party Analysis

Below is a list of the Collections used in these analyses:

Source Data TypeDownload all or Query/FilterLicense
Corresponding Original MR Images from PROSTATEx (DICOM, 558 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20Corresponding%20Orignial%20files%20manifest_20201125.tcia?api=v2

Click the Versions tab for more info about data releases.


(Requires NBIA Data Retriever.)

Tcia cc by 3

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

SEG

Number of Patients

98

Number of Studies

98

Number of Series

98

Number of Images

98

Images Size (MB)143
Note:   Please contact help@cancerimagingarchive.net  with any questions regarding usage.



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Users of this data must abide by the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:

Tcia limited license policy

Info
titleData Citation

Meyer, A., Schindele, D., von Reibnitz, D., Rak, M., Schostak, M., & Hansen, C. (2020). PROSTATEx Zone Segmentations [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.NBB4-4655


Info
titlePublication Citation

Meyer, A. Meyer, Rakr, M. Rak, Schindele, D. Schindele, Blaschke, S. Blaschke, Schostak, M. Schostak, Fedorov, A. Fedorov, & Hansen, C. Hansen, “Towards (2019, April). Towards Patient-Individual PI-RADS Rads v2 Sector Map: CNN Cnn for Automatic Segmentation of Prostatic Zones from From T2-Weighted MRI”, MRI. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, 2019, pp. 696-700, . 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBIisbi.2019.8759572


Info
titleTCIA 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. 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. DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

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


Localtab
titleVersions

Version 1 (Current):  2020/11/25

Data TypeDownload all or Query/Filter
Segmentations (DICOM, 143 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20manifest_20201125.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/25/2020-11/25/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES



Corresponding Original MR Images from PROSTATEx (DICOM, 558 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20Corresponding%20Orignial%20files%20manifest_20201125.tcia?api=v2