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

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 ca...

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Bibliographic Details
Main Authors: Alterovitz, Ron (Author), Goldberg, Ken (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Series:Springer Tracts in Advanced Robotics, 50
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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. .
Physical Description:XVI, 156 p. 55 illus. online resource.
ISBN:9783540692591
ISSN:1610-7438 ;