Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jul 1, 2019

Abstract

PURPOSE: In surgical navigation, pre-operative organ models are presented to surgeons during the intervention to help them in efficiently finding their target. In the case of soft tissue, these models need to be deformed and adapted to the current situation by using intra-operative sensor data. A promising method to realize this are real-time capable biomechanical models.

Authors

  • Micha Pfeiffer
    National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany. micha.pfeiffer@nct-dresden.de.
  • Carina Riediger
    Department for Visceral, Thoracic and Vascular Surgery, University Hospital, Technical University Dresden, Dresden, Germany.
  • Jürgen Weitz
    Department of Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Stefanie Speidel
    Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.

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