Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 1, 2018

Abstract

PURPOSE: During needle interventions, successful automated detection of the needle immediately after insertion is necessary to allow the physician identify and correct any misalignment of the needle and the target at early stages, which reduces needle passes and improves health outcomes.

Authors

  • Arash Pourtaherian
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands. a.pourtaherian@tue.nl.
  • Farhad Ghazvinian Zanjani
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Svitlana Zinger
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Nenad Mihajlovic
    Philips Research Eindhoven, 5656 AE, Eindhoven, The Netherlands.
  • Gary C Ng
    Philips Healthcare, Bothell, WA, 98021, USA.
  • Hendrikus H M Korsten
    Catharina Hospital Eindhoven, 5623 EJ, Eindhoven, The Netherlands.
  • Peter H N de With
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.

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