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Virtual segmentation of three-dimensional ultrasound images of morphological structures of an ex vivo ectopic pregnancy inside a fallopian tube.

Rafael PetersPedro Teixeira CastroAna Paula Pinho MatosGerson RibeiroJorge Lopes Dos SantosAntonio Fernandes MoronHeron Werner
Published in: Journal of clinical ultrasound : JCU (2022)
Ex vivo ultrasound (US) of human tissues has been used for decades on the study of the acoustic physical aspects of the US, to the study of the morphology of the organs. Using three-dimensional (3D) US, we demonstrate the possibilities to study surgical specimens from gynecological conditions. 3D images of the surgical specimen were collected and virtually segmented according to the contrast of its images, providing a 3D image of the ectopic pregnancy and its effects on the fallopian tube.
Keyphrases
  • deep learning
  • convolutional neural network
  • magnetic resonance imaging
  • magnetic resonance
  • endothelial cells
  • physical activity
  • mental health
  • machine learning
  • mass spectrometry
  • ultrasound guided
  • pregnancy outcomes