fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
This dataset addresses the need for accessible, annotated medical imaging data for researchers in breast MRI, though it is incremental as it focuses on data curation rather than new methods.
The authors introduced the first large-scale public dataset of radial k-space and DICOM data for breast dynamic contrast-enhanced MRI, including patient and lesion labels, to support research in fast and quantitative image reconstruction and machine learning.
This data curation work introduces the first large-scale dataset of radial k-space and DICOM data for breast DCE-MRI acquired in diagnostic breast MRI exams. Our dataset includes case-level labels indicating patient age, menopause status, lesion status (negative, benign, and malignant), and lesion type for each case. The public availability of this dataset and accompanying reconstruction code will support research and development of fast and quantitative breast image reconstruction and machine learning methods.