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Cardiac Atlas Project CHD Atlas

Cardiac Atlas Project Congenital Heart Disease (CHD) Atlas

De-identified cardiac MRI, clinical data and biventricular shape models of 1,183 children and adults with congenital heart disease, mostly tetralogy of Fallot, from San Diego and Auckland, hosted by UC San Diego under a data use agreement.

Overview

The Congenital Heart Disease (CHD) Atlas is the congenital branch of the Cardiac Atlas Project. UC San Diego runs the database and collects de-identified cardiac MRI, physiological clinical data and computational heart models from children and adults with congenital heart defects. Contributing centres include Rady Children's Hospital San Diego, UC San Diego Medical Center and Starship Children's Hospital in Auckland. The goal is a reference population against which the ventricular shape and function of a single patient can be compared statistically, to quantify remodelling and guide management.

Composition

The live summary on the home page listed 1,183 patients with 1,273 study image sets and 2,166 clinical exam sets when read on 2026-10-09. Ages range from 0 to 86 years with a mean of 16. The largest groups are tetralogy of Fallot (267 patients), normal CMR (234), coarctation of the aorta (33) and hypoplastic left heart syndrome (33), while 287 patients have no diagnosis recorded. Named sub-collections include a tetralogy of Fallot atlas of 84 repaired patients from Rady Children's Hospital and the Center for Advanced Magnetic Resonance Imaging in Auckland, and a pediatric atlas of 101 healthy children with 65 tetralogy of Fallot validation cases.

Acquisition

For the tetralogy of Fallot atlas, two-dimensional SSFP cine images in short- and long-axis views were acquired at 1.5 T on Siemens Avanto and GE Discovery scanners, together with phase-contrast flow images. The 2018 paper describes a single ventricle atlas of 42 cases from the database, scanned on a Siemens 1.5 T Avanto. Acquisition details for the whole database are not published. Images are stored as DICOM.

Annotations

The database holds biventricular shape models fitted to the images and clinical tables such as ventricular volumes, ejection fractions, ECG intervals and catheter pressures. In the tetralogy of Fallot atlas, end-diastolic and end-systolic contours were drawn manually on short- and long-axis cine slices.

Known limitations

  • The summary counts are a live database view and change as data are added.
  • 287 patients have no diagnosis listed, and the condition counts cover only the five largest groups.
  • No breakdown by sex, site, scanner or field strength is published for the whole database.
  • Access needs an institutional data use agreement with UC San Diego, with extra steps for institutions outside the United States. The agreement text is not published.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 1,183 subjects.

Age

mean 16 · range 0 to 86

No age bins reported.

Condition

subjects, values can overlap

  • Tetralogy of Fallot 267 23%
  • No finding 234 20%
  • Coarctation of the aorta 33 3%
  • Hypoplastic left heart syndrome 33 3%

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Signed agreement

Sign a data use agreement, often reviewed by the provider

Access page

No published license or data use terms

The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.

Access needs a data use agreement between the requesting institution and the data owners (UC San Diego and the University of Auckland), signed by an institutional signatory. UC San Diego sends the agreement template on request and does not publish its text. The general Cardiac Atlas Project user policy is not stated to cover this database.

Original license text Checked 2026-10-08

What you can do

  • Commercial use Not stated
  • Train ML models Not stated
  • Create derived data Not stated
  • Publish results Not stated

What you can share

  • Share the data Not stated
  • Share derived data Not stated
  • Share trained models Not stated

What you must do

  • Cite or credit Not stated
  • Share alike Not stated
  • Sign an agreement Not stated
  • Ethics approval Not stated
  • Manuscript review Not stated
  • Release code Not stated
  • Return results Not stated
  • Delete after use Not stated

Limits

  • No re-identification Not stated
  • Location limits Not stated

Citation

Gilbert K, Forsch N, Hegde S, Mauger C, Omens JH, Perry JC, Pontré B, Suinesiaputra A, Young AA, McCulloch AD. Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease. J Cardiovasc Transl Res 11(2), 123-132 (2018). doi:10.1007/s12265-017-9778-5

All numbers

Every number on this page, as stored in stats.csv, with its source.

MeasureBreakdownValueSource
Subjectstotal
Live counter, read on 2026-10-09
1,183capchd-home
Current Database Summary
Studiestotal
Listed as study image sets
1,273capchd-home
Current Database Summary
Minimum agetotal 0capchd-home
Current Database Summary
Maximum agetotal 86capchd-home
Current Database Summary
Mean agetotal 16capchd-home
Current Database Summary
Subjectscondition=tetralogy_of_fallot 267capchd-home
Current Database Summary
Subjectscondition=no_finding
Listed as Normal CMR
234capchd-home
Current Database Summary
Subjectscondition=aortic_coarctation 33capchd-home
Current Database Summary
Subjectscondition=hypoplastic_left_heart_syndrome 33capchd-home
Current Database Summary

Sources

The keys used in the table above.