Suppressing the HIFU interference in ultrasound guiding images with a diffusion-based deep learning model.

Journal: Computer methods and programs in biomedicine
PMID: 38954917

Abstract

BACKGROUND AND OBJECTIVES: In ultrasound guided high-intensity focused ultrasound (HIFU) surgery, it is necessary to transmit sound waves at different frequencies simultaneously using two transducers: one for the HIFU therapy and another for the ultrasound imaging guidance. In this specific setting, real-time monitoring of non-invasive surgery is challenging due to severe contamination of the ultrasound guiding images by strong acoustic interference from the HIFU sonication.

Authors

  • Dejia Cai
    The State Key Laboratory of Ultrasound Engineering in Medicine, College of Biomedical Engineering, Chongqing Medical University, People's Republic of China.
  • Kun Yang
    Department of Bone and Joint Surgery, Affiliated Hospital of Southwest Medical University, Luzhou Sichuan, 646000, P.R.China.
  • Xintao Liu
    School of Computer Science and Technology, East China Normal University, Shanghai, 200062, China.
  • Jiahong Xu
    Digital Innovation of AI, WuXi Biologics, Shanghai, China.
  • Yao Ran
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, China.
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Xiaowei Zhou
    The State Key Laboratory of Ultrasound Engineering in Medicine, College of Biomedical Engineering, Chongqing Medical University, People's Republic of China.

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