The Sunnybrook Cardiac Data (SCD), also known as the 2009 Cardiac MR Left Ventricle Segmentation Challenge data, consist of 45 cine-MRI images from a mixed of patients and pathologies: healthy, hypertrophy, heart failure with infarction and heart failure without infarction. Subset of this data set was first used in the automated myocardium segmentation challenge from short-axis MRI, held by a MICCAI workshop in 2009. The whole complete data set is now available in the CAP database with public domain license.

Pathology group

There are four pathological groups in this data set, which were classified based on (K Alfakih et al., JMRI 2003) paper, i.e.:

  1. Heart failure with infarction (HF-I) group had ejection fraction (EF) < 40% and evidence of late gadolinium (Gd) enhancement.
  2. Heart failure without infarction (HF) group had EF < 40% and no late Gd enhancement.
  3. LV hypertrophy (HYP) group had normal EF (> 55%) and a ratio of left ventricular (LV) mass over body surface area is > 83 g/m2.
  4. Healthy (N) group had EF > 55% and no hypertrophy.
 N (n=9)HYP (n=12)HF (n=12)HF-I (n=12)
End Diastolic Volume (ml)115.69 (36.89)114.39 (50.46)233.67 (63.21)244.92 (86.02)
End Systolic Volume (ml)43.10 (14.74)43.11 (24.50)158.28 (56.34)174.34 (90.64)
Ejection Fraction (%)62.93 (3.65)62.72 (9.22)33.09 (13.07)32.01 (12.27)
Left Ventricular Mass (g)130.27 (32.69)175.87 (85.70)193.69 (39.01)201.32 (45.24)
LV volumes and function statistics written as mean (stddev)

Terms of usage

License and attribution of these data set, including its derivatives, follows the Public Domain (CC0 1.0 Universal). Hence this data is free to use for any usage. If you are using this data in a publication, please cite the following reference:

Radau P, Lu Y, Connelly K, Paul G, Dick AJ, Wright GA. “Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.” The MIDAS Journal – Cardiac MR Left Ventricle Segmentation Challenge,

The data was contributed by Dr. Perry Radau from the Sunnybrook Health Sciences Centre, Toronto, Canada.


The Cardiac Atlas Project provides the dissemination of the Sunnybrook Cardiac Data by hosting them in the CAP databases.

DICOM image batch 1 (9 cases)zip433.6 MB
DICOM image batch 2 (10 cases)zip839.2 MB
DICOM image batch 3 (10 cases)zip594.2 MB
DICOM image batch 4 (10 cases)zip469.3 MB
DICOM image batch 5 (6 cases)zip363.4 MB
Patient datacsv2.25 KB
Left ventricular modelszip2.34 MB
Manual contourszip1.37 MB
Note that we ran our CAP de-identification process to rename patient IDs according to CAP ID format. To map between CAP IDs and the original Sunnybrook’s IDs that were used during the 2009 MICCAI challenge, you must use the patient data spreadsheet.