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PROSTATEx-Seg-Zones | PROSTATEx Zone Segmentations

DOI: 10.7937/TCIA.NBB4-4655 | Page Accessibility: Public | Analysis Result

Analysis Result Snapshot
Cancer Types Location Subjects Supporting Data Updated
Prostate Prostate 98 Organ segmentations 11/30/2020

Summary

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

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Title Data Type Format Access Points Studies Series Images License
Segmentations SEG DICOM 98 98 98 CC BY 3.0

Collections Used in this Third Party Analysis

Title Data Type Format Access Points Studies Series Images License
Corresponding Original MR Images from PROSTATEx DICOM CC BY 3.0

Citations & Data Usage Policy

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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7

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