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    • Magnetic resonance fingerprinting reconstruction based on adaptive sparsifying transform learning

    • The latest research breakthrough in magnetic resonance fingerprint imaging technology improves the accuracy of parameter inversion and the suppression of folding noise through adaptive sparse transformation learning, providing a reliable solution for medical imaging.
    • Vol. 30, Issue 5, Pages: 1497-1509(2025)   

      Received:07 August 2024

      Revised:29 September 2024

      Published:16 May 2025

    • DOI: 10.11834/jig.240419     

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  • Li Min, Liu Yang, Cai Qingrui, Zhu Xuyuan. 2025. Magnetic resonance fingerprinting reconstruction based on adaptive sparsifying transform learning. Journal of Image and Graphics, 30(5):1497-1509 DOI: 10.11834/jig.240419.
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相关作者

Liu Yang 河海大学 信息科学与工程学院;河海大学 海上智能网信技术教育部重点实验室
Cai Qingrui 厦门大学 电子科学与技术学院
Zhu Xuyuan 河海大学 信息科学与工程学院;河海大学 海上智能网信技术教育部重点实验室
Wang Zhen 福建农林大学机电工程学院;中国科学院福建物质结构研究所
Huo Guanglei 泉州通维科技有限责任公司
Lan Hai 中国科学院福建物质结构研究所
Hu Jianmin 福建医科大学医学技术与工程学院
Wei Xian 华东师范大学软件工程学院

相关机构

College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University
Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences
Quanzhou Tongwei Technology Co., Ltd.
School of Medical Technology and Engineering, Fujian Medical University
Software Engineering Institute, East China Normal University
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