CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

作者：Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Cheng Ouyang, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Q Li, Xu Ziqiang, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Li Qin, Ying‐Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lian‐Ming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang · 发表于：Radiology Artificial Intelligence · 年份：2025 · DOI：10.1148/ryai.240443 · 被引用次数：10 · 研究领域：Radiomics and Machine Learning in Medical Imaging、Cardiac Imaging and Diagnostics、Advanced X-ray and CT Imaging

The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multimodality and multiview cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols.