Modalities / CT

CT scan data for medical AI

MedCorpora scopes CT data programmes around the intended measurement or clinical claim. Cohorts are defined by anatomical coverage, contrast phase, acquisition protocol, scanner, reconstruction kernel, slice thickness, dose, ground truth and validation design.

Published 30 July 2026 · Reviewed 12 August 2026 · MedCorpora
UnitExamination · series
TechnicalKernel · thickness · dose
CoverageAnatomy · contrast phase
EvidenceReports · measurements · outcomes
01

What the programme covers

CT appearance changes with dose, reconstruction, slice thickness, contrast timing and field of view. A cohort suitable for one lung or cardiovascular task may be unsuitable for another even when the anatomy overlaps.

02

What a useful specification includes

A defensible request defines the clinical task, source evidence and acceptance criteria before patient-level data moves. The exact fields and thresholds depend on the intended model claim.

  • Anatomical coverage and target finding
  • Non-contrast or required contrast phases
  • Scanner, tube settings and reconstruction kernel
  • Slice thickness, spacing, dose and field of view
  • Reference measurements, reports or outcomes
  • Site and scanner holdout requirements
03

Quality and validation controls

CT quality review verifies series identity, acquisition constraints, completeness and the reference-standard pathway for each target label or measurement.

  • Contrast and protocol classification
  • Reconstruction and slice-thickness distributions
  • Coverage, truncation and artefact review
  • Dose and acquisition metadata completeness
  • Study duplication and longitudinal handling
04

Availability, rights and delivery

Approved CT releases can include source DICOM, structured acquisition metadata, derived volumes, manifests and task-specific clinical evidence.

Public pages describe a sourcing and engineering capability, not guaranteed ready inventory. Each release remains subject to verified programme inventory, programme-specific authorization, privacy review, technical acceptance and buyer licence terms.

05

Questions, answered directly.

Can contrast and non-contrast CT be mixed?

Only when the model task and analysis plan support that mixture. Otherwise they should be separated.

Can one chest CT support multiple AI tasks?

Potentially, but each task requires its own inclusion rules, labels and reference standard.

Is non-contrast CT currently a ready catalogue?

No. It is a published sourcing scope subject to verified inventory and programme controls.

Can CT data be used for external validation?

Yes when cohort independence, acquisition coverage and ground truth meet the intended validation claim.

Institutional engagement

Define the cohort.