Medical imaging dataset · CT
Thin-slice CT chest across an older adult population.
Over twelve hundred chest CT studies, nearly all reconstructed at 1.5 mm or finer and almost all losslessly compressed. Two thirds are non-contrast and a third contrast-enhanced, and seventy percent of patients are between forty and seventy-nine, the age range where thoracic AI is most often deployed.
- 1,250+
- Studies
- 950K+
- DICOM images
- 83%
- With radiologist report
- 96%
- Lossless compression
- 98%
- Thinnest series ≤ 1.5 mm
- 70%
- Patients aged 40–79
Rounded inventory figures as of October 2026. Counts move as studies are indexed and qualified; exact eligible counts are returned against your specification.
Composition
Who is in the data
Demographics are carried as bands and recorded on every study profile, so a specification can include, exclude or balance by age and sex before anything is packaged.
Patient sex
- Male54%
- Female46%
Age band
- 0–174%
- 18–3921%
- 40–5935%
- 60–7935%
- 80+5%
At a glance
- Series
- 6,000+
- Mean images per study
- ~735
- Acquisition years
- 2023 – 2026
- Source institutions
- 6
Percentages are of studies with the attribute recorded. Figures as of October 2026.
Acquisition profile
How the studies were acquired
Every attribute below is read from the DICOM headers and pixel data of each study, not from a catalogue description. These are the fields your specification can test against.
Contrast
62% non-contrast
38% contrast-enhanced, almost all single-phase venous studies.
Slice thickness
≤ 1.5 mm in 98%
Sub-millimetre thinnest series in 21% of studies.
Tube voltage
110 kVp 51% · 130 kVp 49%
Two protocol families, both populated in the header.
Bit depth
12 bits stored in 87%
16 bits stored in 12%.
Scanner fleet
Siemens 99%
SOMATOM Scope 88%, SOMATOM go.Now 12%, a handful of GE systems.
Coverage
~38 cm mean z-extent
Apex-to-adrenal coverage in the majority of studies.
Qualification & delivery
Qualified against your specification, not sold by the terabyte
You do not buy the whole collection. You send inclusion criteria, we return the exact count of studies that pass, and only those are de-identified and delivered.
Specification
We turn your inclusion criteria into a machine-checkable requirement set: modality, anatomy, contrast phase, slice thickness, kVp, bit depth, compression, report pairing and demographic constraints.
Index & profile
Every study is read at header and pixel level and profiled on more than thirty attributes, including phase pattern, scanner model, coverage, compression history and report match.
Verdict per study
Each study receives an eligible, review or reject verdict with the exact criterion codes it failed. Studies whose phase cannot be read from metadata go to a radiologist, not a guess.
De-identify & deliver
Eligible studies are de-identified, re-verified, packaged with a hashed manifest and shipped to your bucket in batches. You load your own pass/fail list and we reconcile against it.
Status of this dataset
Chest CT has not yet been qualified against a client specification, so the full collection is available. Typical specifications for nodule or interstitial-disease work pass the large majority of these studies on slice thickness and compression alone.
Read how the qualification service worksUse cases
What teams build with ct chest data
Pulmonary nodule detection
Thin-slice, lossless non-contrast chest CT with reports, in the age range where lung screening and incidental nodule follow-up concentrate.
Interstitial and infectious lung disease
Mixed indications from a high-volume Indian network, including infective and post-infective patterns that are under-represented in Western datasets.
Mediastinal and vascular work
A contrast-enhanced subset of around 500 studies for mediastinal mass, lymphadenopathy and vascular models.
Opportunistic screening
Coronary calcium, bone density and body-composition models that mine routine chest CT for incidental risk markers.
Pixel-level labels, study-level classification and structured report extraction are available as a clinician-led annotation project. See medical data annotation.
Consent & permitted use
What this data may be used for, stated up front
Every study in the catalogue was obtained under a signed institutional research agreement with the source imaging network, with a data processing agreement on file. The permitted-use scope travels with the data and is written into every delivery manifest.
Permitted purpose
Development, validation and testing of diagnostic AI. Each delivery is matched to a declared purpose before a single study is packaged.
Permitted jurisdictions
United States and India. Deliveries to other jurisdictions require a fresh agreement with the source, which we will tell you plainly if it is not available.
Not permitted
General-purpose or foundation-model pretraining, and onward resale or sublicensing to third parties. We do not sell around the scope of the source agreement.
Retention
Time-limited retention is part of the agreement. Deliveries carry a retention term and we issue destruction certificates when a term ends or a study is withdrawn.
De-identification
DICOM headers are scrubbed to a documented profile, study, series and instance UIDs are remapped through a sealed crosswalk, and studies with burned-in annotation are detected and quarantined rather than shipped.
Provenance
Each batch ships with a hashed manifest, the acceptance verdict for every study and the source-agreement reference, so your counsel can trace the chain of rights.
Need the de-identification methodology and source-agreement summary for a vendor review? Request the compliance pack.
FAQ
CT Chest dataset FAQ
Is there a lung-screening cohort?
No. These are clinically indicated scans, not a screening programme. That gives a higher prevalence of pathology than a screening cohort, which we document in the datasheet so you can account for it.
Can I exclude paediatric and very elderly patients?
Yes. Age band is part of every study profile, and the specification can set inclusive or exclusive bands. Around 4% of studies are under eighteen and 5% are eighty or over.
What report format do I receive?
Reports are supplied as de-identified text alongside the study, matched one report to one study. Structured findings and section labelling are available as an annotation add-on.
More datasets
Other collections in the catalogue
CTCT Abdomen & Pelvis
Multiphase CT abdomen & pelvis, qualified study by study.
- 4,300+
- Studies
- 5.8M+
- DICOM images
- 93%
- With radiologist report
CTCT Head
Thin-slice, lossless non-contrast CT head.
- 2,100+
- Studies
- 800K+
- DICOM images
- 90%
- With radiologist report
MRIMRI Spine & MSK
Spine and joint MRI from a routine outpatient population.
- 600+
- Studies
- 115K+
- DICOM images
- 72%
- With radiologist report
Send us your inclusion criteria.
We will return the exact number of studies in this collection that pass, what the rest fail on, and a sample batch your pipeline can load, before any commercial discussion.
Or email [email protected] · Mohali, India