Our dataset includes 64 CMR studies from pediatric patients with an age range of 2 to 18 scanned at the Children’s Hospital Los Angeles (CHLA). The CMR dataset–as provided–consists of Tetralogy of Fallot (TOF; n = 20), Double Outlet Right Ventricle (DORV; n = 9), Transposition of the Great Arteries (TGA; n = 9), Cardiomyopathy (n = 8), Coronary Artery Anomaly (CAA; n = 9), Pulmonary Stenosis or Atresia (n = 4), Truncus Arteriosus (n = 3), and Aortic Arch Anomaly (n = 2). The study was reviewed by the Children’s Hospital Los Angeles Institutional Review Board and was granted an exemption per 45 CFR 46.104[d][4][iii] and a waiver of HIPAA authorization per the Privacy Rule (45 CFR Part 160 and Subparts A and E of Part 164).
Imaging studies were performed on either a 1.5 Tesla Philips Achieva or a 3.0 Tesla Philips Ingenia scanner (Philips Healthcare, Best, Netherlands). CMR images for ventricular volume and function analysis were obtained using a standard balanced steady state free precession (SSFP) sequence without the use of a contrast agent. Each dataset includes 12 − 15 short-axis slices encompassing both right and left ventricles from base to apex with 20 − 30 frames per cardiac cycle. Typical scan parameters were: slice thickness of 6 − 10mm, in-plane spatial resolution of 1.5 − 2mm^2 , repetition time of 3 − 4ms, echo time of 1.5 − 2ms, and flip angle of 60 degrees. Manual image segmentation was performed by a pediatric cardiologist with expertise in cardiac MRI. Endocardial contours were drawn on end-diastolic and end-systolic images.
Each image’s original size and its corresponding segmentation was 512 × 512 pixels. The original dataset was first preprocessed by center cropping each image to the size 445 × 445, after removing patients’ information and anonymizing the data. To reduce the dimensionality, each cropped image was subsequently resized to 128 × 128 using the imresize function in the open-source Python library SciPy. The entire process was performed using two different down-sampling methods: (1) nearest-neighbor down-sampling and (2) bi-cubical down-sampling. Patient's information after preprocessing is provided in the metadata file. For training data, twenty-six patients (10 TOFs, 4 DORVs, 4 TGAs, 4 CAAs and 4 patients with cardiomyopathy) were selected whereas the remaining 38 patients were used as test data.
The index of training and test subjects are provided below:
| Dataset | Subject Index |
|---|---|
Training |
1, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 24, 25, 28, 29, 31, 34, 39, 52, 53, 57, 58, 62, 63 |
Test |
2, 11, 13, 17, 18, 19, 20, 21, 22, 23, 26, 27, 30, 32, 33, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 59, 60, 61, 64 |
The authors wish to thank all participants and staff in this study that was carried out in part at the Children’s Hospital Los Angeles.
The data may be used provided that the source of the data and study (Web Link) is cited.