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cover Motion Planning in Medicine...
Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures
Springer Berlin Heidelberg 2008

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

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Título:
Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures [ Recurso electrónico-En línea] / by Ron Alterovitz, Ken Goldberg
Editorial:
Berlin, Heidelberg : Springer Berlin Heidelberg, 2008
Descripción física:
XVI, 156p. 55 illus. : digital
Tipo Audiovisual:
Engineering
Artificial intelligence
Computer vision
Systems theory
Biomedical engineering
Engineering
Automation and Robotics
Control Engineering
Artificial Intelligence (incl. Robotics)
Systems Theory, Control
Biomedical Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Mención de serie:
Springer tracts in advanced robotics, 1610-7438 ; 50
Documento fuente:
Springer eBooks
Nota general:
Engineering (Springer-11647)
Contenido:
Introduction -- Physically-based Simulation of Soft Tissue Deformations -- Motion Planning in Deformable Soft Tissue with Applications to Needle Insertion -- Motion Planning in Deformable Soft Tissue with Obstacles with Applications to Needle Steering -- Motion Planning for Curvature-constrained Mobile Robots with Applications to Needle Steering -- The Stochastic Motion Roadmap: A Sampling-based Framework for Planning with Motion Uncertainty -- Motion Planning for Radiation Sources during High-Dose-Rate Brachytherapy -- Conclusion
Restricciones de acceso:
Accesible sólo para usuarios de la UPV
Tipo recurso electrónico:
Recurso a texto completo
Detalles del sistema:
Forma de acceso: Web
ISBN:
9783540692591 978-3-540-69259-1
Autores:
Entidades:
SpringerLink (Servicio en línea)
Enlace a formato físico adicional:
Printed edition: 9783540692577
Punto acceso adicional serie-Título:
Springer tracts in advanced robotics, 1610-7438 ; 50

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