Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

Journal: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
PMID: 35815701

Abstract

PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during a procedure, which are currently mostly assessed by eye. In this paper, we present fully automatic segmentation of the stent graft on the completion digital subtraction angiography during endovascular aneurysm repair, utilizing a deep learning network.

Authors

  • Kaj O Kappe
    Department of Surgery, Amsterdam University Medical Centers location, Vrije Universiteit, Amsterdam, The Netherlands.
  • Stefan P M Smorenburg
    Department of Surgery, Amsterdam University Medical Centers location, Vrije Universiteit, Amsterdam, The Netherlands.
  • Arjan W J Hoksbergen
    Department of Surgery, Amsterdam University Medical Centers location, Vrije Universiteit, Amsterdam, The Netherlands.
  • Jelmer M Wolterink
    Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands.
  • Kak Khee Yeung
    Department of Surgery, Amsterdam UMC location Vrije Universiteit and Location University of Amsterdam, Amsterdam Cardiovascular Sciences, Atherosclerosis & Ischemic Syndromes 26066 De Boelelaan 1117, 1081HVAmsterdam The Netherlands.

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