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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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Autors principals: Alterovitz, Ron. (Autor, http://id.loc.gov/vocabulary/relators/aut), Goldberg, Ken. (http://id.loc.gov/vocabulary/relators/aut)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:English
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edició:1st ed. 2008.
Periòdiques:Springer Tracts in Advanced Robotics,
Matèries:
Control engineering.
Robotics.
Mechatronics.
Artificial intelligence.
System theory.
Biomedical engineering.
Optical data processing.
Control and Systems Theory.
Control, Robotics, Mechatronics.
Artificial Intelligence.
Systems Theory, Control.
Biomedical Engineering and Bioengineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Accés en línia:https://doi.org/10.1007/978-3-540-69259-1
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Taula de continguts:
  • 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.

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