{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/fastmri-breast-a-publicly-available-radial-k","title":"fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI","arxiv_id":"2406.05270","date":"2024-06-07","proceeding":null,"authors":["Eddy Solomon","Patricia M. Johnson","Zhengguo Tan","Radhika Tibrewala","Yvonne W. Lui","Florian Knoll","Linda Moy","Sungheon Gene Kim","Laura Heacock"],"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.","url_abs":"https://arxiv.org/abs/2406.05270v1","url_pdf":"https://arxiv.org/pdf/2406.05270v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fastmri-breast-a-publicly-available-radial-k","repo_url":"https://github.com/eddysolo/demo_dce_recon","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"diagnostic","task_name":"Diagnostic"},{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}