Descripción del título
Motion Planning in Medicine...
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
Monografía
monografia Rebiun17310125 https://catalogo.rebiun.org/rebiun/record/Rebiun17310125 cr nn 008mamaa 100301s2008 gw | s |||| 0|eng d 9783540692591 978-3-540-69259-1 10.1007/978-3-540-69259-1 doi UPVA 996886876403706 UPM 991005576005704212 UAM 991007780921204211 UCAR 991007918479104213 CBUC 991004879754406711 UPCT u358836 UMO 67440 Alterovitz, Ron Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures Recurso electrónico-En línea] by Ron Alterovitz, Ken Goldberg Berlin, Heidelberg Springer Berlin Heidelberg 2008 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XVI, 156p. 55 illus. digital XVI, 156p. 55 illus. Springer tracts in advanced robotics 1610-7438 50 Engineering (Springer-11647) 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 Accesible sólo para usuarios de la UPV Recurso a texto completo 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 Reproducción electrónica Forma de acceso: Web 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 Goldberg, Ken SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783540692577 Springer tracts in advanced robotics 1610-7438 50