This dataset was derived from tracked biopsy sessions using the Artemis biopsy system, many of which included image fusion with MRI targets. Patients received a 3D transrectal ultrasound scan, after which nonrigid registration (e.g. “fusion”) was performed between real-time ultrasound and preoperative MRI, enabling biopsy cores to be sampled from MR regions of interest. Most cases also included sampling of systematic biopsy cores using a 12-core digital template. The Artemis system tracked targeted and systematic core locations using encoder kinematics of a mechanical arm, and recorded locations relative to the Ultrasound scan. MRI biopsy coordinates were also recorded for most cases. STL files and biopsy overlays are available and can be visualized in 3D Slicer with the SlicerHeart extension. Spreadsheets summarizing biopsy and MR target data are also available. See the Detailed Description tab below for more information.
MRI targets were defined using multiparametric MRI, e.g. t2-weighted, diffusion-weighted, and perfusion-weighted sequences, and scored on a Likert-like scale with close correspondence to PIRADS version 2. t2-weighted MRI was used to trace ROI contours, and is the only sequence provided in this dataset. MR imaging was performed on a 3 Tesla Trio, Verio or Skyra scanner (Siemens, Erlangen, Germany). A transabdominal phased array was used in all cases, and an endorectal coil was used in a subset of cases. The majority of pulse sequences are 3D T2:SPC, with TR/TE 2200/203, Matrix/FOV 256 × 205/14 × 14 cm, and 1.5mm slice spacing. Some cases were instead 3D T2:TSE with TR/TE 3800–5040/101, and a small minority were imported from other institutions (various T2 protocols.)
Patients with suspicion of prostate cancer due to elevated PSA and/or suspicious imaging findings were consecutively accrued. Any consented patient who underwent or had planned to receive a routine, standard-of-care prostate biopsy at the UCLA Clark Urology Center was included.
Note: Some Private Tags in this collection are critical to properly displaying the STL surface and the Prostate anatomy. Private Tag (1129,"Eigen Artemis",1016) DS VoxelSize is especially important for multi-frame US cases.
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- This work was supported in part by the National Cancer Institute Award R01CA158627, Prostate Cancer SPORE at University of California-Los Angeles P50CA092131, the Beckman
- Coulter Foundation, Jean Perkins Foundation, and Steven C. Gordon Family Foundation
- Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI
Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
|Data Type||Download all or Query/Filter|
|Images (DICOM) ||Supplemental Data (format)|
|Biopsy Data (XLSX) 4.25 (MB)|
|Biopsy Overlays (ZIP) 333 (MB)|
Click the Versions tab for more info about data releases.Note: Some Private Tags in this collection are critical to properly displaying the STL surface and the Prostate anatomy. Private Tag (1129,"Eigen Artemis",1016) DS VoxelSize is especially important for multi-frame US cases.
Number of PatientsParticipants
Number of Studies
Number of Series
Number of Images
|Images Size (GB)||77.6 |
Instructions for Proper Use of the STL Files
The 3D surfaces of this dataset are in stereolithography format (binary representation). They are segmentations representing anatomic regions within the corresponding ultrasound (US)
|title||Citations & Data Usage Policy|
Citations & Data Usage Policy
These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to email@example.com. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:or MRI images. Each file is named "Prostate-MRI-US-Biopsy-XXXX-SURFACETYPE-seriesUID-YYYY.STL" where "XXXX" is the anonymized patient number and "YYYY" is the series instance UID of corresponding DICOM images. "SURFACETYPE" can be one of two identifiers, summarized below.
- If "SURFACETYPE" is "ProstateSurface," then the STL file is a segmentation of the prostate gland. These were contoured semi-automatically with Profuse (for MRI) or the Artemis fusion biopsy system (for US), both products of Eigen (Grass Valley, CA). Using these tools, the user manually traced the prostate on one or more image planes, and the remainder of gland was automatically segmented in 3D. The user was then able to adjust vertices of the 3D segmentation as necessary. These segmentations are generally of good quality, though their accuracy is user-dependent.
- If "SURFACETYPE" is "Target," then the STL file is a segmentation of a Region of Interest (ROI) suspicious for harboring prostate cancer. Zero, one, or more than one ROI may be present, and thus are designated "Target1," "Target2," etc. The ROIs corresponding to MRI were traced manually by a radiologist based on their interpretation of the patient's multiparametric MRI study. The ROIs corresponding to US images were acquired by registering the MRI prostate surface nonrigidly and semi-automatically to the US prostate surface. Therefore, the US ROIs are subject to misregistration, with average accuracy of 3-4 mm.
- Note that proximity to an ROI increases the likelihood of, but does not guarantee, prostate cancer. Also note that radiologists assigned each ROI a Likert-like suspicion score of 1-5, with 1 corresponding to very low suspicion of prostate cancer and 5 corresponding to very high suspicion of prostate cancer. These scores, which are roughly equivalent to the "PIRADS Version 2" scoring system, can be found in a spreadsheet included with the dataset.
The STL files can be visualized in 3D Slicer as follows:
- Import the surface(s) either by drag-and-dropping or with File->Add Data
- Within the "Models" module, adjust Display->Opacity of the prostate surface in order to visualize any ROI(s) within
- To visualize surfaces in the context of corresponding MRI or US images, load the corresponding image series and then toggle the Slice Display->Visible radio button within the "models" module
- To visualize surfaces in the context of biopsy cores, import the corresponding 3D slicer file named "BiopsyVectors.mrml" by drag-and-dropping or with File->Add Data.
The STL files, which are written in a standard format, can also be imported and visualized with most computer-aided design (CAD) and 3D printing software. Note that, if quantitative analysis is desired, the following transform was applied to US surfaces for 3D slicer compatibility and may need to be reversed for visualization alongside MRI or US images using other software.
Transform (which has been applied to all ultrasound data):
[0 1 0
0 0 1
1 0 0]
Inverse Transform (use to revert ultrasound data to original coordinates):
[0 0 1
1 0 0
0 1 0]
Instructions for Proper Use of the "Biopsy Overlay" Files
Biopsy vectors, prostate surfaces, and regions of interest can be imported to 3D Slicer in a single step using the collection's "Biopsy Overlay" files. Overlay files associated with ultrasound images are organized into folders with the naming convention "Prostate-MRI-US-Biopsy-XXXX-BXus-seriesUID-####" where "XXXX" is the anonymized patient number and "####" is the series instance UID of corresponding DICOM images. Files associated with MR images have an analogous naming convention "Prostate-MRI-US-Biopsy-XXXX-BXmr-seriesUID-####", but are appended with "(US-date-YYYYMMDD)" where 'YYYYMMDD' is the de-identified acquisition date of the ultrasound series registered to MRI during biopsy. This is specified because in some cases multiple ultrasound-guided biopsies were registered to the same MRI series.
Within each folder of "Biopsy Overlays" is a file named "BiopsyVectors.mrml". This can be imported directly into 3D Slicer by either by drag-and-dropping or with File->Add Data. The prostate surface, any ROIs present, and all biopsy vectors will then be displayed within 3D Slicer. The biopsy cores, represented as "line" fiducials, are color-coded as BLUE = benign, ORANGE = Gleason Grade 3+3, and RED = Gleason Grade ≥ 3+4. The prostate is shown as WHITE, and ROIs are GREEN. To visualize these overlays in the context of corresponding MRI or US images, load the corresponding image series to 3D Slicer using File->DICOM.
Instructions for Proper Use of the Biopsy and Target Spreadsheets
Spreadsheets accompany the dataset that summarize biopsy and MRI target information.
In the spreadsheet "TCIA Biopsy Data," each row represents a single core acquired during ultrasound-guided biopsy. This information includes:
- Coordinates of the biopsy core relative to ultrasound images
- Coordinates of the biopsy core relative to MR images. These are present for approximately 70% of the dataset; values of "-1000" are placeholders representing missing data.
- Primary and secondary Gleason score of the biopsy core. Blank entries represent cores containing only benign tissue.
- Length of cancer (mm) within the biopsy core. Blank entries represent cores containing only benign tissue.
- Total tissue length (mm) of the biopsy core; multiple lengths are listed for cores that were fragmented. Tissue lengths are present for approximately 60% of the dataset; blank entries represent cores for which total tissue length was not recorded.
- Core labels (textual description).
- Prostate serum antigen of patient at the time of biopsy.
- Prostate volume of the patient at the time of biopsy, as measured via MRI prostate segmentation.
- De-identified patient number, series instance UID of ultrasound, and series instance UID of MR images associated with the biopsy core. Note that MRI UIDs are present for approximately 70% of the dataset; blank entries represent cases for which data was irretrievable or MRI registration was not performed.
In the spreadsheet "Target Data," each row represents a single region of interest (ROI), corresponding to one of the exported Target STL files. This information includes:
- Likert-Like "UCLA" score of the ROI. This score predates but is similar to "PIRADSv2." Score values range from 1-5, where 1 is very low suspicion of prostate cancer and 5 is very high suspicion of prostate cancer. Note that scores of 0 or 1 may represent segmentation of non-malignant morphology, or else cases for which a score could not be properly assigned. Only scores of 2 or higher should be considered to correlate with risk of prostate cancer.
- Volume (in CCs) of the ROI.
- Target number of the ROI, enabling correlation between STL surfaces and the suspicion scores for cases with multiple targets.
- De-identified patient number and series instance UID of MR images associated with the ROI.
|title||Citations & Data Usage Policy|
Citations & Data Usage Policy
|Tcia license 4 international|
Natarajan, S., Priester, A., Margolis, D., Huang, J., & Marks, L. (2020). Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-MRI-US-Biopsy) [Data set]. The Cancer Imaging Archive. DOI: 10.7937/TCIA.2020.A61IOC1A
Sonn GA, Geoffrey A., Shyam Natarajan S, Daniel JA Margolis DJ, Malu MacAiran M, Patricia Lieu P, Jiaoti Huang J, Frederick J. Dorey FJ, and Leonard S. Marks LS. " Targeted biopsy in the detection of prostate cancer using an office based magnetic resonance ultrasound fusion device." The Journal of Urology 189, no. 1 (2013): 86-9291. DOI: 10.1016/j.juro.2012.08.095
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.
Version 1 (Current): 2020/03
Added new subjects.
|Data Type||Download all or Query/Filter|
|Images (DICOM) 7877.7 6 (GB)|
|Target Data (XLSX) 131 (KB)|
|Biopsy Data (XLSX) 4.)|
|Biopsy Overlays (ZIP) 333 (MB) |