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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-segmentation
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+ tags:
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+ - medical
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+ - mri
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+ - mpmri
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+ - prostate
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+ - prostate-cancer
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+ - test-retest
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+ - repeatability
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+ - dicom
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+ - tcia
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+ pretty_name: QIN-PROSTATE-Repeatability
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # QIN-PROSTATE-Repeatability
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+
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+ Annotated test-retest multi-parametric MRI of the prostate. Fifteen treatment-naive
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+ subjects each scanned twice within two weeks on the same 3T scanner with an
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+ endorectal coil, yielding 30 imaging studies. Each study contains T2-weighted axial,
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+ diffusion-weighted (b=0, b=1400), apparent diffusion coefficient (ADC), and dynamic
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+ contrast-enhanced (DCE) subtraction series, with manual whole-gland, peripheral-zone,
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+ suspected-lesion, and normal-PZ segmentations stored as DICOM SEG.
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+
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+ ## Dataset Details
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+
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+ | Field | Value |
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+ |---|---|
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+ | Modality | Multi-parametric MRI @ 3T (endorectal coil) |
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+ | Sequences | T2W axial, DWI (b=0, b=1400), ADC, DCE subtraction |
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+ | Body part | Prostate |
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+ | Task | Multi-class 3D segmentation |
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+ | Subjects | 15 |
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+ | Studies | 30 (each subject scanned twice — test/retest) |
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+ | MR series | 150 |
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+ | SEG series | 90 (3 per study — T2W/ADC/DCE) |
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+ | SR series | 90 (DICOM Structured Reports, TID 1500) |
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+ | MR images | 38,320 DICOM slices |
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+ | Format | DICOM (images) + DICOM SEG (segmentations) + DICOM SR (measurements) |
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+ | License | CC BY 4.0 |
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+
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+ No predefined train/val/test split — this is a repeatability cohort. The natural
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+ split is two timepoints per subject (Time Point 1 vs Time Point 2). All 15
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+ subjects are treatment-naive; 11 have at least one suspected lesion (yielding 22
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+ lesion-positive study-timepoints).
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+
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+ ## Segmentation Classes
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+
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+ A single radiologist (10+ years abdominal-MRI experience) annotated each study in
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+ 3D Slicer, blinded to subject ID and to baseline/repeat status. `SegmentAlgorithmType`
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+ in every SEG is `MANUAL`. Per study:
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+
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+ 1. **Whole prostate gland** — annotated on T2W/ADC/DCE
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+ 2. **Whole peripheral zone** — annotated on T2W/ADC/DCE
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+ 3. **Suspected lesion (tumor)** — annotated when present (22 of 30 study-timepoints)
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+ 4. **Normal PZ tissue** — annotated on ADC only
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+
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+ Bundled DICOM SEG objects are the canonical and only ground truth — no alternative
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+ mask source exists for this collection.
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+
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+ ## Structure
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+
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+ ```
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+ images/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # MR
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+ segmentations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # SEG (multi-frame)
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+ structured_reports/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm # SR (TID 1500)
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+ series_to_patient.json # series-level metadata
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+ ```
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+
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+ Each SEG SOP references its source-image series via DICOM metadata
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+ (`DerivationImageSequence -> SourceImageSequence -> ReferencedSOPInstanceUID`).
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+ SR objects (TID 1500/1411) carry per-ROI volume (mm³) and mean ADC (µm²/s) with
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+ `Time Point` (1 or 2) and `Tracking UID` linkage to the segmented ROIs.
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+
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+ ## Important Notes for Loaders
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+
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+ - **mpMRI is NOT co-registered.** T2W, DWI, ADC, and DCE have different geometries.
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+ Use T2W axial as the geometric reference and resample/align other modalities to it
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+ rather than stacking as channels.
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+ - **DICOM SEG ⇄ ITK conversion** is needed to get a labelmap volume; use
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+ `dcmqi`'s `segimage2itkimage` or `pydicom-seg`.
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+ - **Test/retest pairs**: each subject has two studies (TP1 vs TP2). Decide whether
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+ to treat as 30 independent samples or 15 paired samples for evaluation.
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+ - **Lesion mask absent** in 4 subjects (8 study-timepoints) — handle missing-class
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+ gracefully.
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+
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+ ## Source
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+
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+ - TCIA collection: https://www.cancerimagingarchive.net/collection/qin-prostate-repeatability/
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+ - DOI: `10.7937/K9/TCIA.2018.MR1CKGND`
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+ - Companion paper: https://pmc.ncbi.nlm.nih.gov/articles/PMC6278692/
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{fedorov2018qinprostate,
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+ author = {Fedorov, Andrey and Schwier, Michael and Clunie, David and
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+ Herz, Christian and Pieper, Steve and Kikinis, Ron and
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+ Tempany, Clare and Fennessy, Fiona},
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+ title = {An annotated test-retest collection of prostate multiparametric MRI},
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+ journal = {Scientific Data},
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+ volume = {5},
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+ pages = {180281},
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+ year = {2018},
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+ doi = {10.1038/sdata.2018.281}
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+ }
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+
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+ @misc{qinprostaterepeatability2018tcia,
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+ author = {Fedorov, A. and Schwier, M. and Clunie, D. and Herz, C. and
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+ Pieper, S. and Kikinis, R. and Tempany, C. and Fennessy, F.},
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+ title = {Data From QIN-PROSTATE-Repeatability [Dataset]},
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+ year = {2018},
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+ publisher = {The Cancer Imaging Archive},
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+ doi = {10.7937/K9/TCIA.2018.MR1CKGND}
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+ }
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+
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+ @article{fedorov2017repeatability,
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+ author = {Fedorov, Andrey and Vangel, Mark G. and Tempany, Clare M. and
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+ Fennessy, Fiona M.},
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+ title = {Multiparametric Magnetic Resonance Imaging of the Prostate:
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+ Repeatability of Volume and Apparent Diffusion Coefficient
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+ Quantification},
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+ journal = {Investigative Radiology},
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+ volume = {52},
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+ number = {9},
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+ pages = {538--546},
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+ year = {2017},
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+ doi = {10.1097/RLI.0000000000000382}
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+ }
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+ ```