Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jun 10, 2025

Abstract

PURPOSE: Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a promising biomarker for diagnosis. Reconstructing SoS images from ultrasound acquisitions can be cast as a limited-angle computed-tomography problem, with variational networks being a promising model-based deep learning solution. Some acquired data frames may, however, get corrupted by noise due to, e.g., motion, lack of contact, and acoustic shadows, which in turn negatively affects the resulting SoS reconstructions.

Authors

  • Sonia Laguna
    Computer-assisted Applications in Medicine, ETH Zurich, Zurich, Switzerland.
  • Lin Zhang
    Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Clinical Research Center for Birth Defects of Sichuan Province, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: zhanglin@scu.edu.cn.
  • Can Deniz Bezek
    Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Monika Farkas
    Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Baden, Switzerland (D.P., M.K., J.H., M.F., R.A.K.H., A.E.).
  • Dieter Schweizer
    Computer-assisted Applications in Medicine, ETH Zurich, Zurich, Switzerland.
  • Rahel A Kubik-Huch
    Department of Radiology, Kantonsspital Baden, 1 Im Ergel, Baden, Switzerland.
  • Orcun Goksel

Keywords

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