Deep learning-based fetoscopic mosaicking for field-of-view expansion.

Journal: International journal of computer assisted radiology and surgery
PMID: 32808148

Abstract

PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat twin-to-twin transfusion syndrome (TTTS), which involves localization and ablation of abnormal vascular connections on the placenta to regulate the blood flow in both fetuses. This procedure is particularly challenging due to the limited field of view, poor visibility, occasional bleeding, and poor image quality. Fetoscopic mosaicking can help in creating an image with the expanded field of view which could facilitate the clinicians during the TTTS procedure.

Authors

  • Sophia Bano
    Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and Department of Computer Science, University College London, London, UK. sophia.bano@ucl.ac.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.
  • Marcel Tella-Amo
    Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and Department of Computer Science, University College London, London, UK.
  • George Dwyer
    Charles Bell House, 43-45 Foley St, Fitzrovia, London, W1W 7TY, UK.
  • Caspar Gruijthuijsen
  • Emmanuel Vander Poorten
    Department of Mechanical Engineering, University of Leuven, Celestijnenlaan 300B, 3001, Heverlee, Belgium.
  • Tom Vercauteren
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
  • Sébastien Ourselin
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
  • Jan Deprest
  • Danail Stoyanov
    University College London, London, UK.

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