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  • © 2010

Computational Surgery and Dual Training

  • First book on computational surgery and dual training

  • Provides a foundation in surgical methods for biomedical engineers who wish to do research in the surgical area

  • Includes material on surgery applications and biomedical modeling

  • Detailed discussion of imaging and optimization in computational surgery

  • Includes supplementary material: sn.pub/extras

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Table of contents (17 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
  3. Image Processing and Diagnostics

    1. Front Matter

      Pages 44-44
    2. Brain MRI Segmentation

      • Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
      Pages 45-73
    3. New Dimensions in Diagnostic Imaging of the Aorta

      • Jean Bismuth, Christof Karmonik, Dipan Shah, Mark G. Davies, Alan B. Lumsden
      Pages 91-100
    4. Methodological Advances on Pulse Measurement through Functional Imaging

      • Thirimachos Bourlai, Pradeep Buddharaju, Ioannis Pavlidis, Barbara Bass
      Pages 101-121
  4. Image Driven Intervention and Robotics

    1. Front Matter

      Pages 138-138
    2. Computer-Assisted Digestive Surgery

      • Luc Soler, Stéphane Nicolau, Alexandre Hostettler, Jean-Baptiste Fasquel, Vincent Agnus, Arnaud Charnoz et al.
      Pages 139-153
    3. Design of a Robotized Flexible Endoscope for Natural Orifice Transluminal Endoscopic Surgery

      • Bérengère Bardou, Florent Nageotte, Philippe Zanne, Michel de Mathelin
      Pages 155-170
    4. MRI-Guided Robot-Assisted Interventions: An Opportunity and a Challenge in Computational Surgery

      • Nikolaos V. Tsekos, Erol Yeniaras, Ahmet Eren Sonmez
      Pages 171-190
    5. Image-Guided Interventions and Robotics

      • 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. Modeling and Role of Leukocytes in Inflammation

      • Minki Hwang, Scott A. Berceli, Roger Tran-Son-Tay
      Pages 221-232
    3. Multi-modality Imaging for the Simulation of Cerebral Aneurysm Blood Flow Dynamics

      • Christof Karmonik, Yi Jonathan Zhang, Robert G. Grossman
      Pages 233-248
  6. Training

    1. Front Matter

      Pages 268-268

About this book

The future of surgery is intrinsically linked to the future of computational sciences: the medical act will be computer assisted at every single step, from planning to post-surgery recovery and through the surgical procedure itself. Looking back at the history of surgery, surgery practice has changed drama- cally with the extensive use of revolutionary techniques, such as medical imaging, laparoscopy, endoscopy, sensors and actuators, and robots. This trend is dependent on the use of computer processing, computational method, and virtualization. Computational surgery will not only improve the ef?ciency and quality of surgery, but will also give new access to very complex operations that require extreme precision and minimum intrusion. Such examples are today’s inoperable cancer tumors that have invaded critical tissues or nervous centers. In order for this milestone to be reached quicker and more ef?ciently, surgeons will have to become very familiar with computing methods, such as image analysis, augmented re- ity, and/or robotics. It will be critical for surgeons to assimilate computers in their training, understand how computers work, understand the limitations/advantages of these computer tools, and be able to interpret computer imaging and simulations.

Editors and Affiliations

  • Dept. Computer Science, University of Houston, Houston, U.S.A.

    Marc Garbey

  • Methodist Hospital Research Institute, Houston, U.S.A.

    Barbara Lee Bass

  • ENSPS, Université Strasbourg I, Illkirch, France

    Christophe Collet

  • ENSPS, Université Louis Pasteur -Strasbourg I, Illkirch, France

    Michel Mathelin

  • Dept. Mechanical & Aerospace Engineering, University of Florida, Gainesville, U.S.A.

    Roger Tran-Son-Tay

Bibliographic Information

  • Book Title: Computational Surgery and Dual Training

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

  • DOI: https://doi.org/10.1007/978-1-4419-1123-0

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag US 2010

  • Hardcover ISBN: 978-1-4419-1122-3Published: 23 December 2009

  • Softcover ISBN: 978-1-4899-8443-2Published: 02 December 2014

  • eBook ISBN: 978-1-4419-1123-0Published: 16 December 2009

  • Edition Number: 1

  • Number of Pages: XVI, 315

  • Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing, Minimally Invasive Surgery

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access