SELFNet: Denoising Shear Wave Elastography Using Spatial-temporal Fourier Feature Networks.

Journal: Ultrasound in medicine & biology
PMID: 39317627

Abstract

OBJECTIVE: Ultrasound-based shear wave elastography offers estimation of tissue stiffness through analysis of the propagation of a shear wave induced by a stimulus. Displacement or velocity fields during the process can contain noise as a result of the limited number of acquisitions. With advances in physics-informed deep learning, neural networks can approximate a physics field by minimizing the residuals of governing physics equations.

Authors

  • Yanjun Xie
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
  • Yi Huang
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • John A Hossack
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA. Electronic address: jh7fj@virginia.edu.

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