Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures

  • Authors
  • Ron Alterovitz
  • Ken Goldberg

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 50)

Table of contents

  1. Front Matter
  2. Ron Alterovitz, Ken Goldberg
    Pages 1-10
  3. Ron Alterovitz, Ken Goldberg
    Pages 11-25
  4. Ron Alterovitz, Ken Goldberg
    Pages 107-113
  5. Back Matter

About this book

Introduction

The monograph written by Ron Alterovitz and Ken Goldberg combines ideas from robotics, physically-based modeling, and operations research to develop new motion planning and optimization algorithms for image-guided medical procedures. A challenge clinicians commonly face is compensating for errors caused by soft tissue deformations that occur when imaging devices or surgical tools physically contact soft tissue. A number of methods are presented which can be applied to a variety of medical procedures, from biopsies to anaesthesia injections to radiation cancer treatment. They can also be extended to address problems outside the context of medical robotics, including nonholonomic motion planning for mobile robots in field or manufacturing environments. 

Keywords

Computer-Assisted Surgery Medical Robots Motion Planning Nonholonomic Mobile Robots Operations Research Simulation algorithms medical robotics mobile robot modeling optimization robot robotics therapy tissue

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-69259-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-69257-7
  • Online ISBN 978-3-540-69259-1
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • About this book