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Applying spatial-temporal image correlation to the fetal kidney: Repeatability of 3D segmentation and volumetric impedance indices.

Bonita GuGordon N StevensonAna FerreiraSudeshni PathiranaJennifer SandersonAmanda HenryJennifer AlphonseAlec W Welsh
Published in: Australasian journal of ultrasound in medicine (2018)
Periodical variation in vascularity was demonstrated in the fetal kidney, and three-dimensional segmentation was highly repeatable. Derived volumetric impedance indices show moderate variability but outperform corresponding two-dimensional PWD indices in terms of reproducibility.
Keyphrases
  • deep learning
  • convolutional neural network
  • high intensity
  • magnetic resonance imaging
  • dual energy
  • computed tomography