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

Autor:	Solomon, Eddy, Johnson, Patricia M., Tan, Zhengguo, Tibrewala, Radhika, Lui, Yvonne W., Knoll, Florian, Moy, Linda, Kim, Sungheon Gene, Heacock, Laura
Rok vydání:	2024
Předmět:	Physics - Medical Physics Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.05270 Zobrazit plný text záznamu View this record from Arxiv