Abstract
Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-ray imaging serving as the standard diagnostic modality in neonatal intensive care units (NICUs). However, lung magnetic resonance imaging (MRI) offers a non-invasive alternative that avoids sedation and radiation while providing detailed insights into the underlying mechanisms of BPD. Leveraging high-resolution 3D MRI data, advanced image processing and semantic segmentation algorithms can be developed to assist clinicians in identifying the etiology of BPD. In this dataset, we present MRI scans paired with corresponding semantic segmentations of the lungs and trachea for 40 neonates, the majority of whom are diagnosed with BPD. The imaging data consist of free-breathing 3D stack-of-stars radial gradient echo acquisitions, known as the StarVIBE series. Additionally, we provide comprehensive clinical data and baseline segmentation models, validated against clinical assessments, to support further research and development in neonatal lung imaging.
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Data availability
All data records, including the DICOM series, NIfTI files, and clinical data, are available at https://zenodo.org/records/15768091, under the CC BY 4.0 license14.
Code availability
The code repository for the segmentation models can be accessed via https://github.com/rachitsaluja/BPD-Neo.
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Acknowledgements
The authors would like to acknowledge the assistance of the pediatric and NICU nursing staff at NYP who were invaluable in the success of this study. Funding for this work is provided under NHLBI R01HL167003.
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Conceptualization: R.S., M.S., A.K., J.D., Methodology: R.S., M.S., J.D., Formal Analysis: R.S., M.S., Investigation: R.S, M.S., A.K., J.D., Data Curation: R.S., M.S., J.D., Software: R.S., M.S., Validation: R.S., M.S., Visualization: R.S., M.S., J.D., Writing: R.S., M.S., A.K., J.D., Original Draft: R.S., M.S., A.K., J.D., Writing - Review & Editing: R.S., A.K., C.C., L.B., J.P., S.W., M.S., J.D., Project Administration: J.D., M.S., Supervision: J.D., M.S., Funding Acquisition: A.K., J.D.
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Saluja, R., Kovanlikaya, A., Chien, C. et al. BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia. Sci Data (2026). https://doi.org/10.1038/s41597-026-07006-8
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DOI: https://doi.org/10.1038/s41597-026-07006-8
