Computational Biomechanics for Medicine

Fundamental Science and Patient-specific Applications

  • Barry Doyle
  • Karol Miller
  • Adam Wittek
  • Poul M.F. Nielsen

Table of contents

  1. Front Matter
    Pages i-viii
  2. Sachin Man Bajimaya Shrestha, Grand Joldes, Adam Wittek, Karol Miller
    Pages 15-26
  3. Nathan Deacon, Alice Chapuis, Harvey Ho, Richard Clarke
    Pages 27-40
  4. David S. Molony, Lucas H. Timmins, Emad Rasoul-Arzumly, Habib Samady, Don P. Giddens
    Pages 41-52
  5. Samarth S. Raut, Anirban Jana, Victor De Oliveira, Satish C. Muluk, Ender A. Finol
    Pages 69-86
  6. Brooke A. Sanford, John L. Williams, Audrey R. Zucker-Levin, William M. Mihalko
    Pages 101-111
  7. Mao Li, Adam Wittek, Grand Joldes, Guiyong Zhang, Feifei Dong, Ron Kikinis et al.
    Pages 113-122

About these proceedings

Introduction

One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine. The Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements. This latest installment comprises nine of the latest developments in both fundamental science and patient-specific applications, from researchers in Australia, New Zealand, USA, UK, France, Ireland, and China. Some of the interesting topics discussed are: cellular mechanics; tumor growth and modeling; medical image analysis; and both patient-specific fluid dynamics and solid mechanics simulations.

Keywords

Computer assisted intervention Image-guided surgery Injury mechanism analysis MICCAI Medical image analysis Medical image computing Surgical intervention planning Surgical simulation

Editors and affiliations

  • Barry Doyle
    • 1
  • Karol Miller
    • 2
  • Adam Wittek
    • 3
  • Poul M.F. Nielsen
    • 4
  1. 1.Intelligent Systems for Medicine LaboratoryThe University of Western AustraliaPerthAustralia
  2. 2.Intelligent Systems for Medicine LaboratoryThe University of Western AustraliaPerthAustralia
  3. 3.Intelligent Systems for Medicine LaboratoryThe University of Western AustraliaPerthAustralia
  4. 4.Auckland Bioengineering InstituteThe University of AucklandAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0745-8
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4939-0744-1
  • Online ISBN 978-1-4939-0745-8
  • About this book