Computational Surgery and Dual Training

  • Marc Garbey
  • Barbara Lee Bass
  • Christophe Collet
  • Michel Mathelin
  • Roger Tran-Son-Tay

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Computer Assisted Management of Disease and Surgery

  3. Image Processing and Diagnostics

    1. Front Matter
      Pages 44-44
    2. Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
      Pages 45-73
    3. Jean Bismuth, Christof Karmonik, Dipan Shah, Mark G. Davies, Alan B. Lumsden
      Pages 91-100
    4. Thirimachos Bourlai, Pradeep Buddharaju, Ioannis Pavlidis, Barbara Bass
      Pages 101-121
  4. Image Driven Intervention and Robotics

    1. Front Matter
      Pages 138-138
    2. Luc Soler, Stéphane Nicolau, Alexandre Hostettler, Jean-Baptiste Fasquel, Vincent Agnus, Arnaud Charnoz et al.
      Pages 139-153
    3. Bérengère Bardou, Florent Nageotte, Philippe Zanne, Michel de Mathelin
      Pages 155-170
    4. Nikolaos V. Tsekos, Erol Yeniaras, Ahmet Eren Sonmez
      Pages 171-190
    5. Bernard Bayle, Oliver Piccin, Laurent Barbé, Pierre Renaud, Michel de Mathelin
      Pages 191-205
  5. Modeling, Simulation and Experimental Data

    1. Front Matter
      Pages 208-208
    2. Minki Hwang, Scott A. Berceli, Roger Tran-Son-Tay
      Pages 221-232
    3. Christof Karmonik, Yi Jonathan Zhang, Robert G. Grossman
      Pages 233-248
  6. Training

    1. Front Matter
      Pages 268-268

About this book

Introduction

The new and emerging field of computational surgery will improve the efficiency and quality of surgery and will give patients access to very complex surgical operations that require extreme precision and minimum intrusion. In order to effectively deploy computational surgery techniques in life threatening cases such as inoperable cancer tumors that have invaded critical artery tissues or the nervous system, surgeons will have to become very familiar with computing methods, such as image analysis, augmented reality and robotics. Computational Surgery and Dual Training provides the necessary background in computer and surgical techniques that will enable computer scientists/biomedical engineers and surgeons to work together to improve interventional procedures and surgeries. The book brings together contributions from leading minds in the field, who also:

  • Provide a foundation in surgical methods for biomedical engineers who wish to do research in the surgical area
  • Include material on surgery applications and biomedical modeling
  • Offer a detailed discussion of imaging and optimization in computational surgery

Computational Surgery and Dual Training is the perfect book for biomedical engineers and active surgeons interested in learning more about these developing methods.

 

 

Keywords

Simulator augmented reality biomedical engineers cancer diagnostics image analysis image processing imaging inflammation optimization robotics signal processing surgery tissue vascular surgery

Editors and affiliations

  • Marc Garbey
    • 1
  • Barbara Lee Bass
    • 2
  • Christophe Collet
    • 3
  • Michel Mathelin
    • 4
  • Roger Tran-Son-Tay
    • 5
  1. 1.Dept. Computer ScienceUniversity of HoustonHoustonU.S.A.
  2. 2.Methodist Hospital Research InstituteHoustonU.S.A.
  3. 3.ENSPSUniversité Strasbourg IIllkirchFrance
  4. 4.ENSPSUniversité Louis Pasteur -Strasbourg IIllkirchFrance
  5. 5.Dept. Mechanical & Aerospace EngineeringUniversity of FloridaGainesvilleU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-1123-0
  • Copyright Information Springer-Verlag US 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4419-1122-3
  • Online ISBN 978-1-4419-1123-0
  • About this book