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. 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.


Data Access

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Segmentations (DICOM, 143 MB)

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

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Detailed Description

Image Statistics



Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (MB)143

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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:

Meyer, A., Schindele, D., von Reibnitz, D., Rak, M., Schostak, M., & Hansen, C. (2020). PROSTATEx Zone Segmentations [Data set]. The Cancer Imaging Archive.

A. Meyer, M. Rak, D. Schindele, S. Blaschke, M. Schostak, A. Fedorov, C. Hansen, “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), Venice, Italy, 2019, pp. 696-700,

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

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