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Application of a quality threshold to improve liver shear wave elastography measurements in free-breathing pediatric patients.

Jisoo KimNaohisa KamiyamaShunichiro TanigawaHaesung YoonHyun Ji LimMi-Jung Lee
Published in: Ultrasonography (Seoul, Korea) (2024)
Applying QT to exclude low-quality pixels can minimize measurement error and improve differentiation of liver fibrosis grades. The presence of an artificial stripe pattern on the SWE map may indicate images requiring exclusion.
Keyphrases
  • liver fibrosis
  • deep learning
  • quality improvement
  • convolutional neural network
  • machine learning