Summary

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.

Data Access

Data Type	Download all or Query/Filter	License
Segmentations (DICOM, 143 MB)	(Requires NBIA Data Retriever.)	CC BY 3.0

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Collections Used in this Third Party Analysis

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

Source Data Type	Download all or Query/Filter	License
Corresponding Original MR Images from PROSTATEx (DICOM, 558 MB)	(Requires NBIA Data Retriever.)	CC BY 3.0

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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

Citations & Data Usage Policy

Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

Data 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

Publication Citation

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

TCIA 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

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Version 1 (Current): 2020/11/25

Data Type	Download all or Query/Filter
Segmentations (DICOM, 143 MB)
Corresponding Original MR Images from PROSTATEx (DICOM, 558 MB)

Child pages

PROSTATEx Zone Segmentations (PROSTATEx-Seg-Zones)