fair dataset metadata

Sunnybrook Cardiac Data 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. Classification 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) 2. Heart failure without infarction (HF) group had EF 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. The following table shows group statistics written as average (stddev) : 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) Availability The Cardiac Atlas Project provides the dissemination of the Sunnybrook data by hosting them in the CAP databases. Finite element models (see supporting files section below) derived from these data are also provided. The whole complete data are available for any users, including the guest user account. License and attribution of these data set, including its derivatives, follows the Public Domain (CC0 1.0 Universal). 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, http://hdl.handle.net/10380/3070 Data contributor 1. Perry Radau – Sunnybrook Health Sciences Centre, Toronto, Canada. More information · The original 2009 LV Segmentation Challenge webpage. · Promotional poster for the 2009 LV Segmentation Challenge. · The challenge results published in the MIDAS journal.