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

IF 8.1 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2025-03-01 DOI:10.1148/ryai.240443

Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Cheng Ouyang, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qing Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair Young, Michael Markl, He Wang, Lian-Ming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang

引用次数: 0

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CMRxRecon2024：一个多模态，多视图k-空间数据集，用于加速心脏MRI的通用机器学习。

“刚刚接受”的论文经过了全面的同行评审，并已被接受发表在《放射学：人工智能》杂志上。这篇文章将经过编辑，布局和校样审查，然后在其最终版本出版。请注意，在最终编辑文章的制作过程中，可能会发现可能影响内容的错误。发布的CMRxRecon2024数据集是目前最大和协议最多样化的公开k空间数据集，包括来自330名健康志愿者的多模态和多视图心脏MRI数据，每个数据集都涵盖标准化和常用的临床协议。©RSNA, 2025年。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiology-Artificial Intelligence

CiteScore

16.20

自引率

1.00%

发文量

期刊介绍： Radiology: Artificial Intelligence is a bi-monthly publication that focuses on the emerging applications of machine learning and artificial intelligence in the field of imaging across various disciplines. This journal is available online and accepts multiple manuscript types, including Original Research, Technical Developments, Data Resources, Review articles, Editorials, Letters to the Editor and Replies, Special Reports, and AI in Brief.