fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

TL;DR

This paper introduces the first large-scale public radial k-space dataset for breast DCE-MRI, including case labels, to facilitate research in fast image reconstruction and machine learning methods.

Contribution

It provides a comprehensive, publicly available dataset with labels and reconstruction code for breast DCE-MRI, supporting advancements in imaging and analysis techniques.

Findings

First large-scale radial k-space breast MRI dataset

Includes detailed case-level labels for clinical features

Provides reconstruction code to enable research and development

Abstract

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.