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We created 66 high resolution segmentations for randomly chosen T2-weighted volumes of the SPIE-AAPM-NCI PROSTATEx Challenges (PROSTATEx). The high resolution segmentations were obtained by considering the three scan directions: for each scan direction (axial, sagittal, coronal), the gland was manually delineated by a medical student, followed by a review and corrections of an expert urologist. These three anisotropic segmentations were fused to one isotropic segmentation by means of shape-based interpolation in the following manner: (1) The signed distance transformation of the three segmentations is computed. (2) The anisotropic distance volumes are transformed into an isotropic high-resolution representation with linear interpolation. (3) By averaging the distances, smoothing and thresholding them at zero, we obtained the fused segmentation. The resulting segmentations were manually verified and corrected further by the expert urologist if necessary. Serving as ground truth for training CNNs, these segmentations have the potential to improve the segmentation accuracy of automated algorithms. By considering not only the axial scans but also sagittal and coronal scan directions, we aimed to have higher fidelity of the segmentations especially at the apex and base regions of the prostate.

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Localtab Group

Localtab active true title Data 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 Type Download all or Query/Filter License Segmentations (DICOM, 0.119 GB )Image Removed    Image Removed ) Tcia button generator url https://wiki.cancerimagingarchive.net/download/attachments/61080779/High%20Resolution%20Prostate%20Segmentations%20for%20the%20ProstateX-Challenge-NBIA-manifest_20200917.tcia?api=v2 Tcia button generator label Search url https://public.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=09/10/2020-09/11/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES (Requires NBIA Data Retriever.) Tcia cc by 3 Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net  with any questions regarding usage. 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, 371.21 MB) Image Removed     Tcia button generator url https://wiki.cancerimagingarchive.net/download/attachments/61080779/ProstateX-Original%20MR%20Images-NBIA-manifest_20200917.tcia?api=v2 (Requires NBIA Data Retriever.) Tcia cc by 3 Localtab title Detailed Description Detailed Description Image Statistics Modalities SEG Number of Patients 66 Number of Studies 66 Number of Series 66 Number of Images 66 Image Size (GB) 0.119 Note:   Please contact help@cancerimagingarchive.net  with any questions regarding usage. Localtab title Citations & Data Usage Policy Citations & Data Usage Policy  publictcia-collectionlimited-license-policy Info title Dataset Citation Schindele, D., Meyer, A., Von Reibnitz, D. F., Kiesswetter, V., Schostak, M., Rak, M., & Hansen, C. (2020). High Resolution Prostate Segmentations for the ProstateX-Challenge [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.DEG7ZG1U Info title Publication Citation Meyer, A., Chlebus, G., Rak, M., Schindele, D., Schostak, M., van Ginneken, B., Schenk, A., Meine, H., Hahn, H. K., Schreiber, A., & Hansen, C. (2020). Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Computer Methods and Programs in Biomedicine, 105821. https://doi.org/10.1016/j.cmpb.2020.105821 Info title 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 TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. Localtab title Versions Version 1 (Current): 2020/09/18 Data Type Download all or Query/Filter Segmentations (DICOM, 0.119 GB)      Corresponding Original MR Images from PROSTATEx (DICOM, 371.21 MB)

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