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Table of contents

  1. Front Matter
    Pages i-xix
  2. Loris Fichera
    Pages 1-8 Open Access
  3. Loris Fichera
    Pages 27-42 Open Access
  4. Loris Fichera
    Pages 63-78 Open Access
  5. Loris Fichera
    Pages 89-92 Open Access
  6. Back Matter
    Pages 93-99

About this book

Introduction

This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

Keywords

Transoral Laser Microsurgery Models of Laser Ablation Cognitive Surgical Robotics Computer-assisted Surgery Laser-tissue Interaction Robotic Laser Microsurgery Minimal Thermal Damage Thermal Laser-tissue Interactions

Authors and affiliations

  • Loris Fichera
    • 1
  1. 1.Dip. di Info., Bioin., Rob. e Ing. dei SUniversità degli Studi di GenovaGenovaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30330-7
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2016
  • License CC BY-NC
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-30329-1
  • Online ISBN 978-3-319-30330-7
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site