Deep learning-based plane pose regression in obstetric ultrasound.

Journal: International journal of computer assisted radiology and surgery
Published Date: Apr 30, 2022

Abstract

PURPOSE: In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a major challenge in skill acquisition. We aim to build a US plane localisation system for 3D visualisation, training, and guidance without integrating additional sensors.

Authors

  • Chiara Di Vece
    Wellcome/EPSRC Centre for International and Surgical Sciences (WEISS), University College London, London, UK. chiara.divece.20@ucl.ac.uk.
  • Brian Dromey
    Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Francisco Vasconcelos
    Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London 43-45 Foley St, London, W1W 7TY, UK.; Department of Computer Science, University College London, 66-72 Gower St, London WC1E 6EA, UK.
  • Anna L David
  • Donald Peebles
    Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.
  • Danail Stoyanov
    University College London, London, UK.

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