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

Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui +4 more
6/7/2024
physics.med-phcs.CVcs.LG

No confident code implementation found for this paper. 1 possible match can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

80% match2023

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data

79% match2023

Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance

79% match2025

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

78% match2026

Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI

78% match1 repo162024

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women

78% match2025

Cite this paper

@article{solomon2024fastmri,
  title  = {fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI},
  author = {Eddy Solomon and Patricia M. Johnson and Zhengguo Tan and Radhika Tibrewala and Yvonne W. Lui and Florian Knoll and Linda Moy and Sungheon Gene Kim and Laura Heacock},
  year   = {2024},
  eprint = {2406.05270},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.05270v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2406.05270.svg)](https://codeofpaper.com/paper/2406.05270)

Discussion