FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI
The fastMRI breast dataset is the first large-scale dataset of radial k-space and Digital Imaging and Communications in Medicine data for breast dynamic contrast-enhanced MRI with case-level labels, and its public availability aims to advance fast and quantitative machine learning research.
Authors
- Florian Knöll (ORCID: https://orcid.org/0000-0001-5357-8656)
- Eddy Solomon (ORCID: https://orcid.org/0000-0001-9204-4518)
- Yvonne W. Lui (ORCID: https://orcid.org/0000-0002-9984-9164)
- Patricia M. Johnson (ORCID: https://orcid.org/0000-0003-1547-9969)
- Linda Moy (ORCID: https://orcid.org/0000-0001-9564-9360)
- Radhika Tibrewala (ORCID: https://orcid.org/0000-0002-3837-1144)
- Sungheon Kim (ORCID: https://orcid.org/0000-0002-6288-0678)
- Zhengguo Tan (ORCID: https://orcid.org/0000-0002-4322-5109)
- Laura Heacock (ORCID: https://orcid.org/0000-0002-0900-0459)
Institutions
- Cornell University (US)
Publication Details
- Journal
- Radiology Artificial Intelligence
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1148/ryai.240345
- Citations
- 5
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 6.80
Funders
- Radiological Society of North America
- Deutsche Forschungsgemeinschaft
- National Institutes of Health