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Computational Surgery and Dual Training

  • Book
  • © 2010

Overview

Editors:
  1. Marc Garbey

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

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  2. Barbara Lee Bass

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

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  3. Christophe Collet

    1. ENSPS, Université Strasbourg I, Illkirch, France

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  4. Michel Mathelin

    1. ENSPS, Université Louis Pasteur -Strasbourg I, Illkirch, France

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  5. Roger Tran-Son-Tay

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

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  • 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. Training

    1. A Computational Framework for Breast Surgery: Application to Breast Conserving Therapy

      • David Thanoon, Marc Garbey, Nam-Ho Kim, Barbara Bass
      Pages 249-266

    2. Simulators in Training

      • Brian J. Dunkin
      Pages 269-281

    3. A Computational Desk for Surgeons

      • Victoria Hilford, Yusuf Yildiz, Marc Garbey
      Pages 283-311

  2. Back Matter

    Pages 313-315
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Keywords

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

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