4D-Lung (segmentation subset)
Longitudinal 4D (respiratory-gated, phase-resolved) fan-beam CT of 20 locally-advanced non-small-cell lung cancer (NSCLC) patients, with expert manual RTSTRUCT contours, from Data from 4D Lung Imaging of NSCLC Patients (4D-Lung) on The Cancer Imaging Archive (Hugo et al., VCU).
This is the segmentable subset of the full collection — read carefully. The full TCIA 4D-Lung collection is ~183 GB and contains both 4D fan-beam CT (4D-FBCT, "4DCT") and 4D cone-beam CT (4D-CBCT). Only the 4DCT series carry public RTSTRUCT segmentations; the 4DCBCT series (~134 GB) have no public masks. This mirror therefore contains only the 820 4DCT phase series + the 800 RTSTRUCT series (~46 GB) that form usable image/mask pairs. If you need the un-annotated 4DCBCT, download it from TCIA directly.
Dataset Details
| Field | Value |
|---|---|
| Modality | CT (4D fan-beam, respiratory-gated; 10 breathing phases 0–90%) + RTSTRUCT contours |
| Body part | Lung / thorax — locally-advanced NSCLC |
| Task | 3D tumor-target segmentation (GTV + involved nodes) |
| Patients | 20 (100_HM10395 … 119_HM10395) |
| CT series (phase volumes) | 820 |
| RTSTRUCT series | 800 |
| Image/mask pairs | 800 (each RTSTRUCT references exactly one CT phase volume) |
| DICOM files | 93,830 |
| Acquisition | longitudinal — each patient imaged repeatedly across the chemo-radiotherapy course |
| Format | DICOM (CT + RTSTRUCT) |
| License | CC BY 3.0 |
Segmentation Labels & Recommended Ground Truth
RTSTRUCT ROI names follow the convention {Structure}_c{PP}, where PP is the
breathing-phase percentage (c00 = 0% … c90 = 90%). Each RTSTRUCT is
phase-specific and references the matching phase CT.
Recommended gold-standard ground truth: the radiotherapy target volume —
| Label | ROI names | Coverage |
|---|---|---|
| GTV (gross primary tumor) | Tumor_cPP | all 800 pairs (100%) |
| Involved lymph nodes | LN_cPP, LN2_cPP | 720 / 800 pairs (90%) |
All contours were delineated by a single experienced radiation oncologist (E. Weiss) under physician supervision — there is one annotation tier (no multi-rater / partial-vs-full split).
The RTSTRUCT files also contain, with partial coverage, organs-at-risk
(RLung, LLung, Esophagus, Heart, Cord, Trachea — present on only
~101 RTSTRUCT) and landmarks/fiducials (Carina, Vertebra, MarkerA–D;
markers in 7 patients only). These are NOT the gold target but are preserved
intact in the raw RTSTRUCT for downstream use. A handful of ROI names have minor
typos (Tumor_ c00, LN2_C10).
Cross-dataset Overlap
None known. 4D-Lung is a single-institution VCU cohort (all subjects share
the HM10395 site suffix). It is disjoint from NSCLC-Radiomics (Maastricht
Lung1), LIDC-IDRI, and the Medical Segmentation Decathlon Lung task — no shared
patients or source archives are documented. The only identifier is the TCIA
Subject ID (NNN_HM10395).
Structure
<PatientID>/<StudyInstanceUID>/CT_<SeriesInstanceUID>/*.dcm # CT phase volume
<PatientID>/<StudyInstanceUID>/RTSTRUCT_<SeriesInstanceUID>/*.dcm # contours
series_index.json # index + RT→CT pairing
LICENSE.txt
Each RTSTRUCT references its source CT phase series via
ReferencedFrameOfReferenceSequence / RTReferencedSeriesSequence. The flat
layout encodes the DICOM Modality as the series-folder prefix (CT_… /
RTSTRUCT_…). series_index.json provides, for every series, its patient /
study / modality / relative path / breathing phase, and for every RTSTRUCT its
resolved ref_ct_uid, ROI names, and GTV/node/OAR coverage flags — plus a
ready-made pairs list of the 800 RTSTRUCT→CT pairings.
Source & Citation
- TCIA collection: https://www.cancerimagingarchive.net/collection/4d-lung/
- Data DOI:
10.7937/K9/TCIA.2016.ELN8YGLE - Official, author-deposited (VCU); fully public, CC BY 3.0, no registration.
@article{hugo2017longitudinal4dlung,
author = {Hugo, Geoffrey D. and Weiss, Elisabeth and Sleeman, William C. and
Balik, Salim and Keall, Paul J. and Lu, Jun and Williamson, Jeffrey F.},
title = {A longitudinal four-dimensional computed tomography and cone beam
computed tomography dataset for image-guided radiation therapy
research in lung cancer},
journal = {Medical Physics},
volume = {44},
number = {2},
pages = {762--771},
year = {2017},
doi = {10.1002/mp.12059}
}
@misc{hugo20164dlungtcia,
author = {Hugo, G. D. and Weiss, E. and Sleeman, W. C. and Balik, S. and
Keall, P. J. and Lu, J. and Williamson, J. F.},
title = {Data from 4D Lung Imaging of NSCLC Patients (4D-Lung) [Data set]},
year = {2016},
publisher = {The Cancer Imaging Archive},
doi = {10.7937/K9/TCIA.2016.ELN8YGLE}
}
@article{clark2013tcia,
author = {Clark, Kenneth and Vendt, Bruce and Smith, Kirk and others},
title = {The Cancer Imaging Archive (TCIA): Maintaining and Operating a
Public Information Repository},
journal = {Journal of Digital Imaging},
volume = {26},
number = {6},
pages = {1045--1057},
year = {2013},
doi = {10.1007/s10278-013-9622-7}
}