Evaluation of deep learning reconstruction in accelerated knee MRI: comparison of visual and diagnostic performance metrics.

Journal: Radiologie (Heidelberg, Germany)
Published Date: Jun 23, 2025

Abstract

OBJECTIVE: To investigate the clinical value of deep learning reconstruction (DLR) in accelerated magnetic resonance imaging (MRI) of the knee and compare its visual quality and diagnostic performance metrics with conventional fast spin-echo T2-weighted imaging with fat suppression (FSE-T2WI-FS).

Authors

  • Shenglian Wen
    Department of Radiology, The First Affiliated Hospital, Guangxi Medical University, No 6 Shuangyong Road, 530021, Nanning, Guangxi Zhuang Autonomous Region, China.
  • Yifan Xu
    Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing 100191, China. xuyifan_1992@163.com.
  • Guangxin Yang
    Department of Radiology, The First Affiliated Hospital, Guangxi Medical University, No 6 Shuangyong Road, 530021, Nanning, Guangxi Zhuang Autonomous Region, China.
  • Fuling Huang
    Department of Radiology, The First Affiliated Hospital, Guangxi Medical University, No 6 Shuangyong Road, 530021, Nanning, Guangxi Zhuang Autonomous Region, China.
  • Zisan Zeng
    Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals