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

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

doi:10.1148/ryai.240443

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

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 LiYing 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^*

^*Corresponding author for this work

Radiology

Research output: Contribution to journal › Comment/debate › peer-review

2 Scopus citations

Original language	English (US)
Article number	e240443
Journal	Radiology: Artificial Intelligence
Volume	7
Issue number	2
DOIs	https://doi.org/10.1148/ryai.240443
State	Published - Mar 2025

Funding

This study was supported in part by the National Natural Science Foundation of China (no. 62331021, 62371413, 62122064), the Shanghai Municipal Science and Technology Major Project (no. 2023SHZD2X02A05), the Shanghai Rising-Star Program (no. 24QA2703300), the Royal Society (no. IEC\\NSFC\\211235), the UK Research and Innovation Future Leaders Fellowship (no. MR/V023799/1), the UK Research and Innovation guarantee funding for Horizon Europe MSCA Postdoctoral Fellowships (no. EP/Z002206/1), the Engineering and Physical Sciences Research Council UK Grants (no. EP/X039277/1), the Yantai Basic Research Key Project (no. 2023JCYJ041), the Youth Innovation Science and Technology Support Program of Shandong Provincial (no. 2023KJ239), the Youth Program of Natural Science Foundation of Shandong Province (no. ZR2024QF001), and the China Scholarship Council (no. 202306310177). The computations in this research were performed using the CFFF platform of Fudan University.

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Artificial Intelligence

Access to Document

10.1148/ryai.240443

Cite this

Wang, Z., Wang, F., Qin, C., Lyu, J., Ouyang, C., Wang, S., Li, Y., Yu, M., Zhang, H., Guo, K., Shi, Z., Li, Q., Xu, Z., Zhang, Y., Li, H., Hua, S., Chen, B., Sun, L., Sun, M., ... Wang, C. (2025). CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. Radiology: Artificial Intelligence, 7(2), Article e240443. https://doi.org/10.1148/ryai.240443

@article{eb5cad4040ac4e3d993478d18ee9de70,

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

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

year = "2025",

month = mar,

doi = "10.1148/ryai.240443",

language = "English (US)",

volume = "7",

journal = "Radiology: Artificial Intelligence",

issn = "2638-6100",

publisher = "Radiological Society of North America Inc.",

number = "2",

}

Wang, Z, Wang, F, Qin, C, Lyu, J, Ouyang, C, Wang, S, Li, Y, Yu, M, Zhang, H, Guo, K, Shi, Z, Li, Q, Xu, Z, Zhang, Y, Li, H, Hua, S, Chen, B, Sun, L, Sun, M, Li, Q, Chu, YH, Bai, W, Qin, J, Zhuang, X, Prieto, C, Young, A, Markl, M, Wang, H, Wu, LM, Yang, G, Qu, X & Wang, C 2025, 'CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI', Radiology: Artificial Intelligence, vol. 7, no. 2, e240443. https://doi.org/10.1148/ryai.240443

TY - JOUR

T1 - CMRxRecon2024

T2 - A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

AU - Wang, Zi

AU - Wang, Fanwen

AU - Qin, Chen

AU - Lyu, Jun

AU - Ouyang, Cheng

AU - Wang, Shuo

AU - Li, Yan

AU - Yu, Mengyao

AU - Zhang, Haoyu

AU - Guo, Kunyuan

AU - Shi, Zhang

AU - Li, Qirong

AU - Xu, Ziqiang

AU - Zhang, Yajing

AU - Li, Hao

AU - Hua, Sha

AU - Chen, Binghua

AU - Sun, Longyu

AU - Sun, Mengting

AU - Li, Qing

AU - Chu, Ying Hua

AU - Bai, Wenjia

AU - Qin, Jing

AU - Zhuang, Xiahai

AU - Prieto, Claudia

AU - Young, Alistair

AU - Markl, Michael

AU - Wang, He

AU - Wu, Lian Ming

AU - Yang, Guang

AU - Qu, Xiaobo

AU - Wang, Chengyan

PY - 2025/3

Y1 - 2025/3

UR - http://www.scopus.com/inward/record.url?scp=105002077901&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=105002077901&partnerID=8YFLogxK

U2 - 10.1148/ryai.240443

DO - 10.1148/ryai.240443

M3 - Comment/debate

C2 - 39878610

AN - SCOPUS:105002077901

SN - 2638-6100

VL - 7

JO - Radiology: Artificial Intelligence

JF - Radiology: Artificial Intelligence

IS - 2

M1 - e240443

ER -

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

Funding

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this