Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach.

Journal: Magnetic resonance imaging
PMID: 40058736

Abstract

OBJECTIVE: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images.

Authors

  • Mingyan Wu
    Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
  • Wanning Zeng
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Yanbin Li
    Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
  • Chang Ni
    School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China.
  • Jiaying Zhang
    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
  • Xiangwei Kong
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Jeff L Zhang
    School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China. zhanglei2@shanghaitech.edu.cn.

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