Image & data credits

Last updated: September 9, 2026

The patient anatomy in the RT Image Matching Trainer — and in the screenshots and animations of it shown on this site — is derived from medical-imaging datasets that researchers and institutions have published under open Creative Commons Attribution (CC BY) licences. This page records the cited source, licence, processing, and known research-participant conditions; an open release or licence does not by itself establish a dataset's privacy, consent, or re-identification status. The two Classroom screenshots are deterministic fictional UI fixtures: their names, class codes, assignments, adjustments, and results are invented, and they contain no patient image.

Landing-page simulator tour

The scroll-driven tour records this application's Full Treatment matching, kV verification, and simulated delivery, followed by one continuous Machine Room sequence: imaging-arm deployment, gantry rotation with the arms extended, and an internals reveal. It is not AI-generated clinical footage. Both recordings use the pelvic Prostate Anatomical Edge Cases source (DOI: 10.7937/qstf-st65). The full source citation and research-participant limitations are recorded below. No head or facial anatomy is shown.

Phone versions crop the same approved recordings to emphasize the demonstrated anatomy and machine parts. Both AP and lateral fiducial views remain paired; the delivery view places its original same-frame monitor-unit and gantry readouts above the machine. The room sequence keeps one camera and crop throughout. No images are generated, recolored, or retimed for these crops. The still-image alternative includes the recorded red-guide and green-guide endpoints. The landing page’s residual-report table is a fictional translation example using the trainer’s Femur case tolerance and feedback categories, not an actual learner record.

The room recording issues one coordinated kV/MV deployment request. The simulator’s normal clearance controller sequences their physical travel; every arm reaches its deployed endpoint before gantry rotation begins. Both systems stay extended through the internals reveal. Arm travel is condensed for the recording, and scrolling does not represent real equipment speed. No trainer safety control or physical geometry is changed.

These condensed demonstrations use fictional training states. A visible setup offset is seeded consistently in the isolated local fixture. The actual Full Treatment CBCT registration is checked, the couch correction completes off camera through its held-motion controls, and post-correction kV fiducials verify before field positioning, collision certification, and explicit Beam On/Hold. The draggable marker guides start deliberately offset and move onto the true fiducials in the post-correction images. The trainer’s existing overlap check turns each guide from red to green; the patient and true fiducial positions are not changed for this effect. Acquisition waits and between-stage field preparation are condensed, but imaging completion is not bypassed. Scrolling controls presentation time, not real treatment speed. This is not a complete clinical protocol. Machine internals are representative educational geometry, not manufacturer CAD or a clinical service guide. Recordings are not evidence of treatment safety or learner competency. Trainer and classroom screenshots use fictional progress and records.

Case-library screenshots

The landing-page gallery lists all 37 current case and workflow entries. Thirty still images were captured from the actual trainer in an isolated local fixture with fictional setup values and no learner records. Full Treatment previews show actual CBCT or paired kV matching images with the linac visible in the same interface: CBCT for Prostate, Lung and Liver; kV for Instrumented Spine and Breast; and synthetic five-BB phantom matching for Machine QA. Existing machine controls are expanded, and acquisition timing is condensed for the still. No match approval, couch correction, or beam delivery is shown. Captures are resized and WebP-compressed, with no montage or AI-generated patient imagery. Case descriptions retain their source-versus-synthetic teaching limitations.

The seven head-derived case entries use image-free overviews. Their protected imaging is not published in this gallery. Other screenshots show only their reviewed non-facial anatomy; Machine QA contains a synthetic phantom, not patient anatomy. Each capture is mapped to the collections and full citations below in the project's image-rights register. These are non-clinical training previews, not completed treatments or clinical QA measurements. The gallery does not establish source-specific consent, ethics approval, or de-identification status; the source limitations below still apply.

Imaging datasets

Trainer cases are built from the following collections, accessed through The Cancer Imaging Archive (TCIA) / the NCI Imaging Data Commons unless noted. This inventory includes every DOI and CC BY source embedded in still-distributed case-data files or protected DRRs and every source visible in a public trainer capture, including assets whose start-screen card has been retired or that are now used only in challenges.

• Prostate Anatomical Edge Cases Prostate fiducial CBCT case and 2D/2D prostate fiducial-match case (planning CT with the patient's real implanted gold markers); and the 2D/2D Hip Prosthesis / Pelvis case from O-MAR planning CT patient Prostate-AEC-111 (real unilateral total-hip arthroplasty). AP and patient-left lateral teaching DRRs were rendered from the CT; support hardware was removed from the projection volume and changes were made. The Cancer Imaging Archive — doi:10.7937/qstf-st65 · CC BY 4.0
• Pediatric-CT-SEG 2D/2D and CBCT Pediatric Abdomen cases from exam Pediatric-CT-SEG-E1FF3C7E. The near-isotropic CT was converted into AP and patient-left lateral educational DRRs and an abdomen/pelvis isotropic CBCT atlas. The CBCT case preserves selected expert Skin, liver, kidney, stomach, bladder, spinal-canal and bone contours as a non-cancer organ-registration exercise; no target volume was added. Changes were made. The Cancer Imaging Archive — doi:10.7937/TCIA.X0H0-1706 · CC BY 4.0
• LIDC-IDRI + DICOM-LIDC-IDRI-Nodules Breast CBCT case (synthetic lumpectomy plan, cavity, and clips added); the 2D/2D Breast L mono-isocentric supraclavicular + medial-tangent case (reference field shapes baked into the adapted images); and a legacy Lung SBRT CBCT atlas that remains in the protected case-data inventory. That lung atlas uses released research CT subject LIDC-IDRI-0136 and a strict 2-of-3 consensus of the exact three separately published DICOM Nodule 7 reader annotations. This site does not independently assert a source-specific de-identification, consent, ethics, or re-identification status for that CT. It preserves the visible source lesion and CT-derived body/lung structures and adds a synthetic 5 mm teaching PTV. It is not the current 4D-Lung case, but its assets are still distributed and are therefore credited here. Changes were made. Source CT — The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2015.LO9QL9SX · CC BY 3.0 Nodule annotations — The Cancer Imaging Archive — doi:10.7937/TCIA.2018.H7UMFURQ · CC BY 3.0
• CMB-BRCA (Cancer Moonshot Biobank — Invasive Breast Carcinoma) Protected planning DRRs for the Breast Supine tangent exercise were rendered from patient MSB-02054. The CT was cropped and converted into educational projection images; setup errors and field interaction are simulated, and changes were made. The Cancer Imaging Archive — doi:10.7937/DX22-8J71 · CC BY 4.0
• 4D-Lung Standalone and Full Treatment Lung SBRT cases (patient 100_HM10395: one 50% / end-exhale planning 4DCT is used for both Plan and Today, with a fictional rigid 6DOF setup error applied to Today; the physician planning RTSTRUCT tumour/lung/cord/heart contours were rasterized, and a synthetic PTV of GTV + 5 mm was added); the CT Simulation Chest / lung exercise from arms-up patient 110_HM10395 (all ten matched 0–90% gated source CT phases across the finite pelvis/abdomen-through-lower-neck acquisition, downsampled to one common teaching grid; BODY and lung masks are automated derivatives, not physician contours; no target, plan, dose, or synthetic anatomy continuation was added); and the Breast L · Opposed Tangents 3D Conformal Full Treatment case from the arms-up 0% planning phase of patient 106_HM10395. For the breast case, the source RTSTRUCT lungs, heart, cord, and esophagus were used for geometric review; TotalSegmentator-derived breast anatomy was used to author an explicitly synthetic whole-breast teaching target; Plastimatch rendered setup and portal projections; and the patient-specific equal-and-opposite collimator rotations plus exact two-field jaw/MLC geometry were instantiated and read back in SlicerRT. No source breast treatment plan or dose was used. Changes were made. The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2016.ELN8YGLE · CC BY 3.0
• NSCLC Radiogenomics 2D/2D Thorax case (AP + patient-left lateral planning DRRs generated from a chest CT). The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2017.7HS46ERV · CC BY 3.0
• TCGA-PRAD (The Cancer Genome Atlas — Prostate Adenocarcinoma) 2D/2D Pelvis case (bony DRRs ray-summed from a diagnostic chest/abdomen/pelvis CT of patient TCGA-VP-A878). This collection also supplied MV-style pelvis and lumbar portal renders that remain in the case-data file but are not currently exposed as trainer cases; they are credited here because they are still distributed. The separate 2D/2D Lumbar Spine case is not derived from this collection — see Spine-Mets-CT-SEG below. Changes were made. The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2016.YXOGLM4Y · CC BY 3.0
• Soft Tissue Sarcoma Soft-tissue sarcoma CBCT case (real tumour contour), 2D/2D femur case, and 2D/2D Shoulder / Scapula case from left-shoulder patient STS_008. The public 2D/2D landing poster is a deterministic capture of patient STS_004's cropped single-thigh Femur case; it contains no head or facial anatomy. The shoulder planning references were centred on the real GTV and converted into educational DRRs. The 2D/2D Knee / Tibia case uses whole-leg patient STS_047: the contralateral leg was removed at the measured inter-leg gap and the field was centred on the femoral condyles, with the released GTV_Mass ROI used only to anchor that search. Changes were made. The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2015.7GO2GSKS · CC BY 3.0
• Spine-Mets-CT-SEG Spine Metastasis T4 2D/2D, CBCT and Full Treatment surfaces from patient 13683 use the same 0.5 mm radiotherapy-simulation CT and released T4 vertebral DICOM-SEG. Their start-screen cards have been retired, so those surfaces are reachable only through the rotating challenge; the assets remain in the case data and are credited here because they are still distributed. The collection classification identifies an osteolytic T4 level extending into the pedicle and pars; no lesion contour or patient treatment plan is released. Same-patient AP/lateral and beam-angle planning references were generated with Plastimatch. A 3 mm BODY-clipped expansion of the source T4 structure, carved outside a 2 mm cord-avoidance envelope, was created and read back in 3D Slicer. Three posterior static fields, jaws and a 120-leaf geometric MLC aperture with a separate 5 mm allowance were instantiated and read back in SlicerRT. That PTV, all field geometry, MU and delivery are explicitly synthetic educational simulation; no optimization, prescription, dose calculation or deliverable patient plan is represented. The separate Instrumented Spine 2D/2D and simulated first-day workflow use patient 11471 with a real three-level thoracic pedicle-screw and rod construct; their T6–T8-derived target and SlicerRT-read-back AP/PA plan are likewise synthetic. The separate Lumbar Spine 2D/2D case uses patient 10456, a 0.5 mm skin-to-skin radiotherapy-simulation CT whose released vertebral DICOM-SEG spans T8–L5; the L3 segment supplies the isocentre for AP/lateral Plastimatch references and no target volume, margin or plan is derived from it. Changes were made. The Cancer Imaging Archive — doi:10.7937/KH36-DS04 · CC BY 4.0
• TCGA-THCA (The Cancer Genome Atlas — Thyroid Cancer) Head & neck 2D/2D and CBCT cases from patient TCGA-DE-A4MA. DRRs were ray-summed from the head-and-neck CT. For the research-only CBCT teaching case, TotalSegmentator 2.16.0 generated a thyroid-gland mask and both lobes were reviewed in 3D Slicer 5.10. The same-study PET40 focus is used only as a gross-disease hypothesis (GTV, 6.0 cc). A simplified primary-site CTV (27.0 cc) combines the reviewed thyroid with a Slicer +5 mm local GTV expansion, then uses a Slicer +7/−7 mm morphological close to restore a connected isthmus region. One connected PTV (44.8 cc) encompasses both lobes with a Slicer +3 mm setup expansion. No nodal CTV is invented. These are literature-informed research teaching volumes—not released physician contours, a prescription, dose input, optimisation or deliverable plan. Changes were made. The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2016.9ZFRVF1B · CC BY 3.0
• CPTAC-UCEC + CPTAC-UCEC-Tumor-Annotations Gynae / uterus CBCT case from contrast pelvic CT patient C3N-00872. The separately published exact RTSTRUCT ROI UTERUS - 1 is a RECIST-style radiology lesion/tumour annotation labelled by organ; it is preserved as the source registration target but is not a whole-organ uterus contour or RT GTV. Bladder and rectum are derived teaching contours. The trainer presents a rigid 6DOF registration rather than synthetic differential target motion. Two nested BODY-clipped target volumes were made and read back with the 3D Slicer 5.10 Segment Editor Margin effect as requested 5 mm + 5 mm steps. They are explicitly synthetic CTV/PTV teaching geometry, not clinician contours, dose inputs, optimization, or a deliverable plan. Changes were made. Source CT — The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2018.3R3JUISW · CC BY 4.0 Lesion annotation — The Cancer Imaging Archive — doi:10.7937/89M3-KQ43 · CC BY 4.0
• CC-Tumor-Heterogeneity Cervical Cancer CBCT-mode case from patient CCTH-A03's pre-treatment Timepoint1 acquisition. A source cervical-tumour annotation drawn on the collection's T2-weighted MRI was mapped to its paired pelvic CT through the released rigid DICOM Spatial Registration object. The CT was body-masked, cropped and resampled for the trainer; the moving cone-beam view is simulated from that CT rather than an independent daily scan. Two nested BODY-clipped geometric teaching contours were generated from the unchanged source annotation with the 3D Slicer 5.10 Segment Editor Margin effect as requested 5 mm + 5 mm steps. They are explicitly synthetic and are not represented as GTV, CTV, ITV, PTV, clinician-delineated treatment margins, dose inputs, optimization, or a plan. Changes were made. The Cancer Imaging Archive — doi:10.7937/ERZ5-QZ59 · CC BY 4.0
• Mediastinal-Lymph-Node-SEG Mediastinal Lymph Nodes CBCT-mode case from fully annotated contrast CT patient case_0412. All four components of the source manual lymph-node DICOM-SEG were retained while the CT was body-masked, cropped and resampled; the moving cone-beam view is simulated from that CT rather than an independent daily scan. The trainer presents the nodes and thoracic anatomy as one rigid 6DOF registration. Two nested BODY-clipped geometric teaching contours were generated from the unchanged diagnostic annotation with the 3D Slicer 5.10 Segment Editor Margin effect as requested 5 mm + 5 mm steps. The expansions are explicitly synthetic and are not represented as GTV, CTV, ITV, PTV, clinician-delineated treatment margins, dose inputs, optimization, or a plan. Changes were made. The Cancer Imaging Archive — doi:10.7937/QVAZ-JA09 · CC BY 4.0
• CPTAC-SAR (Clinical Proteomic Tumor Analysis Consortium — Sarcoma) CSI Full Treatment and Machine Room patient from patient C3N-00875's continuous whole-body CT. Planning AP and patient-left lateral teaching DRRs were generated at Brain, Superior Spine, and Inferior Spine stations exactly 200 mm apart; the patient support was removed from the projection volume and the images were cropped, ray-summed, contrast-windowed, and resampled. Machine Room brain, lungs, heart, liver, kidneys, bladder, and spinal-cord masks were generated on this same CT with TotalSegmentator 2.15.0 and resampled to the room atlas. These structures remain available in the explicit 3D cutaway beneath the feature-suppressed outer head surface. The available structures are automated teaching segmentations, not physician contours or treatment-planning structures. All setup errors, couch parameters, 0.5/0.7 cm scenario margins, treatment sequence, and delivery are synthetic educational simulation only; no source patient plan, target, dose, or clinical protocol is represented. Changes were made. The Cancer Imaging Archive — doi:10.7937/TCIA.2019.9BT23R95 · CC BY 4.0
• CPTAC-CM (Clinical Proteomic Tumor Analysis Consortium — Cutaneous Melanoma) Female Whole-Body Machine Room patient from patient C3N-02633's continuous head-first CT. The scanner cradle was removed with a deterministic source-CT BODY mask, the complete acquired head-to-feet extent was retained, and the room atlas was resampled to 4 mm. Brain, lungs, heart, liver, kidneys, bladder, spinal cord, and breast tissue were generated on this same CT with TotalSegmentator 2.15.0 and resampled to the exact room grid. These structures remain available in the explicit 3D cutaway beneath the feature-suppressed outer head surface; the available structures are automated teaching segmentations, not physician contours or treatment-planning structures. The TotalSegmentator 2.15.0 models used here do not provide this case's ureters, urethra, uterus/cervix, ovaries, fallopian tubes, or vagina; those layers are clearly labelled, non-patient-specific educational schematics anchored to the same-scan kidneys and bladder. The patient is provided only for linac-room setup, movement, collision, laser, ODI, imaging, accessory, tattoo, and cutaway practice; no plan, target, prescription, dose, treatment sequence, or clinical protocol is represented. Data used in this project were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). Changes were made. The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2018.ODU24GZE · CC BY 4.0
• Pancreatic-CT-CBCT-SEG (Hong J. et al.) Pancreas CBCT case (breath-hold planning CT with gastrointestinal organ contours). The Cancer Imaging Archive — doi:10.7937/TCIA.ESHQ-4D90 · CC BY 4.0
• Colorectal-Liver-Metastases + BAMF-AIMI Annotations Liver SBRT CBCT and teaching-workflow case from patient CRLM-CT-1100. The collection contrast CT and DICOM-SEG supply the source anatomy plus hepatic and portal vessel contours. The exact BAMF-AIMI AI-generated DICOM-SEG labelled “AIMI liver-tumor radiologist 7 corrected segmentation” supplies the corrected liver and Mass contours used by the trainer. The images were cropped, resampled, projected and display-windowed, and changes were made. The displayed CTV/PTV layers are synthetic teaching overlays, not source contours, clinical margins, dose, or a deliverable plan. Source CT, hepatic/portal annotations — The Cancer Imaging Archive — doi:10.7937/QXK2-QG03 · CC BY 4.0 Corrected liver/Mass annotation — Zenodo — doi:10.5281/zenodo.8345959 · CC BY 4.0
• UPenn-GBM + BAMF-AIMI Annotations Glioblastoma MR case from UPENN-GBM patient UPENN-GBM-00019. The post-contrast T1 source MR is paired with the exact BAMF-AIMI AI-generated DICOM-SEG labelled “AIMI Brain MRI radiologist 3 corrected segmentation.” The enhancing-lesion and necrosis segments were combined into the displayed tumour target and the edema segment was retained for context; the external head contour was derived from the MR. The MR was cropped and display-normalised, the corrected SEG was reoriented and resampled to the teaching atlas, and changes were made. Head-derived imagery remains protected and is not used in public site captures. Source MR — The Cancer Imaging Archive — doi:10.7937/TCIA.709X-DN49 · CC BY 4.0 Tumour annotation — Zenodo — doi:10.5281/zenodo.8345959 · CC BY 4.0
• Adrenal-ACC-Ki67-Seg Adrenal CBCT case from a contrast abdominal CT with a radiologist-refined adrenal-mass DICOM-SEG. The source mass is preserved and registered with the surrounding abdominal anatomy as one rigid 6DOF volume. Two nested BODY-clipped geometric teaching contours were generated from the unchanged source annotation with the 3D Slicer 5.10 Segment Editor Margin effect as requested 5 mm + 5 mm steps. The expansions are explicitly synthetic and are not represented as GTV, CTV, ITV, PTV, clinician-delineated treatment margins, dose inputs, optimization, or a plan. Changes were made. The Cancer Imaging Archive — doi:10.7937/1FPG-VM46 · CC BY 4.0
• CPTAC-CCRCC + CPTAC-CCRCC-Tumor-Annotations Renal Cell Carcinoma CBCT case from patient C3N-03018. The contrast CT was cropped and resampled into an isotropic teaching atlas; the radiologist-reviewed right-kidney tumour annotation is preserved as a source lesion outline. It is not represented as a clinical GTV, CTV or PTV, and no treatment margin was inferred. Changes were made. Source CT — The Cancer Imaging Archive — doi:10.7937/K9/TCIA.2018.OBLAMN27 · CC BY 4.0 Tumour annotation — The Cancer Imaging Archive — doi:10.7937/SKQ4-QX48 · CC BY 4.0
• EAY131 + EAY131-Tumor-Annotations v2 Esophageal Cancer CBCT case from patient EAY131-8537265. The thoracic CT was gap-filled from its released non-uniform slice positions, cropped and resampled into an isotropic teaching atlas; the expert esophageal-primary annotation is preserved as a source lesion outline. The 3D Slicer 5.10 Segment Editor Margin effect added requested +5 mm and +10 mm-total BODY-clipped synthetic teaching contours with SlicerRT verified. The outer contour is shown in the trainer’s synthetic PTV row, but neither expansion is a clinician-delineated GTV, CTV, ITV or PTV, clinical margin, dose input, optimization result, or treatment plan. Changes were made. Source CT — The Cancer Imaging Archive — doi:10.7937/C5KE-YX42 · CC BY 4.0 Tumour annotation — The Cancer Imaging Archive — doi:10.7937/Q9RN-M510 · CC BY 4.0
• A Paired Head CT-MRI Dataset for Cross-Modality Image Synthesis 2D/2D Brain and Acoustic Neuroma SRS cases use the same patient sub-19: the Brain DRRs come from its 0.5 mm bone-kernel CT, while Acoustic SRS adds the exactly co-gridded CE-T1W and CT-BRAIN. The real paired CT supplies CBCT/kV anatomy and CT-derived BODY while MRI localises a direct synthetic teaching PTV at the patient-right IAC/CPA. The source has no RTSTRUCT/SEG; no source GTV, CTV, cochlea contour, clinical margin, dose, or patient treatment plan is claimed. The publisher openly released the volumes under CC BY 4.0, but the exact record did not document de-identification, consent, ethics approval, or facial-data reuse conditions when reviewed; we do not infer those statuses. For the trainer, volumes were cropped in-plane, resampled, display-normalised, projected, and converted into protected educational imaging; changes were made. Head-derived imagery is not used in public site captures. Zenodo — doi:10.5281/zenodo.17486320 · CC BY 4.0

Required acknowledgments

Cancer Moonshot Biobank: Data used in this publication were generated by the National Cancer Institute's Cancer Moonshot Biobank.

CPTAC: Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).

TCGA: The results shown here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.

The Cancer Imaging Archive

TCIA-hosted collections above are made available thanks to the archive itself: Clark K, Vendt B, Smith K, et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging. 2013;26(6):1045–1057. doi:10.1007/s10278-013-9622-7. Data were accessed via the NCI Imaging Data Commons.

Tools

Some organ contours (e.g. heart, ribs, and vertebral structures) were generated only with TotalSegmentator's open Apache-2.0 total and breasts tasks. The Breast CBCT heart used Dataset293, a component of the open total task; this site does not distribute output from the separately licensed heartchambers_highres task (Dataset301). Wasserthal J, et al. TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology: Artificial Intelligence. 2023. doi:10.1148/ryai.230024. TotalSegmentator is based on nnU-Net: Isensee F, et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature Methods. 2021. doi:10.1038/s41592-020-01008-z.

The simulator's optional patient figure was built from a MakeHuman base mesh via the MPFB Blender extension. MakeHuman's generated mesh output is released under CC0 1.0; it was re-posed, re-topologised at the eyes, split into bands, and calibrated onto the trainer's landmark anchors — changes were made. The patient gown uses the "Fabric Pattern 07" normal map from Poly Haven (CC0 1.0), downscaled and converted to WebP. Neither CC0 source requires attribution; both are credited here for completeness.

The site is set in Inter (© The Inter Project Authors) and JetBrains Mono (© The JetBrains Mono Project Authors), both self-hosted under the SIL Open Font License 1.1; the licence text is served alongside the font files at /assets/fonts/LICENSE.txt.

Machine simulation & trademarks

The interactive treatment-machine model, console graphics, and animations were reconstructed for this educational simulator from publicly available dimensional literature and measurements taken from a commercially licensed visual reference. The distributed model is generated by this project without importing the reference model’s mesh, materials, textures, logos, wordmarks, or product decals. Rights in the reference remain governed by its separate commercial licence; the project’s own licence does not expand or sublicense them.

CT Simulation and Machine Room patient exteriors are generated from each credited scan’s CT/MR BODY-derived shape. For a head-containing scan, the complete source head exterior cranial to the reviewed neck locator—including face, chin, temples, ears, and occipital relief—is overwritten before meshing with smooth deterministic non-patient whole-head cross-sections. No source head-surface sample survives; only smoothed and quantized gross head measurements position and size the replacement, while the CT-derived body below the neck blend remains. The whole exterior is rendered with a matte natural skin-tone synthetic material and no source texture. The same modified surface is used for rendering, board and table contact, lasers, collision and clearance, SSD, and tattoo placement so the visual and physical models do not diverge. Same-scan internal anatomy remains available only in the explicit cutaway and does not change the feature-suppressed outer surface. This replacement reduces direct recognition risk but does not guarantee anonymity or de-identification. The finite Breast and arms-up CT Simulation exteriors include only their acquired CT interval, end in hard caps, and have no synthetic continuation.

This independent project is not affiliated with, sponsored by, or endorsed by any equipment manufacturer. Product names and trademarks belong to their respective owners and are referenced only where needed for factual attribution.

Licence notes

The CC BY licences above apply to the source imaging datasets, which remain available from their publishers at the links given. Attribution here does not imply that the dataset authors, TCIA, the NCI, Zenodo, or any equipment manufacturer endorses this site. The trainer's original software, design, and content are © Craig Utter; licensed and third-party materials remain subject to their respective terms — see our Terms of Service, the served third-party software and asset notices, the production dependency notices, and the vendored browser dependency notices.

Contact

Questions about a credit or a source: support@rtimagematch.com.