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Computational Biomechanics for Medicine

Personalisation, Validation and Therapy

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Martyn P. Nash

    1. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

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  2. Poul M.F. Nielsen

    1. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

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  3. Adam Wittek

    1. Intelligent Systems for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Australia

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  4. Karol Miller

    1. Intelligent Systems for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Australia

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  5. Grand R. Joldes

    1. Intelligent Systems for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Australia

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About this book

This book contains contributions from computational biomechanics specialists who present and exchange opinions on the opportunities for applying their techniques to computer-integrated medicine, including computer-aided surgery and diagnostic systems. Computational Biomechanics for Medicine collects peer-reviewed chapters from the annual Computational Biomechanics for Medicine Workshop, in conjunction with the Medical Image Computing and Computer Assisted Intervention [MICCAI] Society conference. The works are dedicated to research in the field of methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease diagnosis and prognosis, analysis of injury mechanisms, implant and prosthesis design, artificial organ design, and medical robotics. These chapters will appeal to a wide range of researchers and students within the fields of engineering and medicine, as well as those working in computational science. 

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Table of contents (11 papers)

  1. Front Matter

    Pages i-viii
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  2. Biomechanical Simulation of Vaginal Childbirth: The Colors of the Pelvic Floor Muscles

    • Dulce A. Oliveira, Maria Elisabete T. Silva, Maria Vila Pouca, Marco P. L. Parente, Teresa Mascarenhas, Renato M. Natal Jorge
    Pages 1-17

  3. Patient-Specific Modeling of Pelvic System from MRI for Numerical Simulation: Validation Using a Physical Model

    • Zhifan Jiang, Olivier Mayeur, Laurent Patrouix, Delphine Cirette, Jean-François Witz, Julien Dumont et al.
    Pages 19-30

  4. Numerical Analysis of the Risk of Pelvis Injuries Under Multidirectional Impact Load

    • Katarzyna Arkusz, Tomasz Klekiel, Romuald Będziński
    Pages 31-42

  5. Parametric Study of Lumbar Belts in the Case of Low Back Pain: Effect of Patients’ Specific Characteristics

    • Rébecca Bonnaire, Woo-Suck Han, Paul Calmels, Reynald Convert, Jérôme Molimard
    Pages 43-59

  6. Quantitative Validation of MRI-Based Motion Estimation for Brain Impact Biomechanics

    • Arnold D. Gomez, Andrew K. Knutsen, Dzung L. Pham, Philip V. Bayly, Jerry L. Prince
    Pages 61-71

  7. Meshless Method for Simulation of Needle Insertion into Soft Tissues: Preliminary Results

    • Adam Wittek, George Bourantas, Grand Roman Joldes, Anton Khau, Konstantinos Mountris, Surya P. N. Singh et al.
    Pages 73-86

  8. A Biomechanical Study on the Use of Curved Drilling Technique for Treatment of Osteonecrosis of Femoral Head

    • Mahsan Bakhtiarinejad, Farshid Alambeigi, Alireza Chamani, Mathias Unberath, Harpal Khanuja, Mehran Armand
    Pages 87-97

  9. A Hybrid 0D–1D Model for Cerebral Circulation and Cerebral Arteries

    • Nixon Chau, Harvey Ho
    Pages 99-110

  10. Removing Drift from Carotid Arterial Pulse Waveforms: A Comparison of Motion Correction and High-Pass Filtering

    • Emily J. Lam Po Tang, Amir HajiRassouliha, Martyn P. Nash, Andrew J. Taberner, Poul M. F. Nielsen, Yusuf O. Cakmak
    Pages 111-119

  11. Rapid Blood Flow Computation on Digital Subtraction Angiography: Preliminary Results

    • George Bourantas, Grand Roman Joldes, Konstantinos Katsanos, George Kagadis, Adam Wittek, Karol Miller
    Pages 121-131

  12. Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning

    • Amir H. Abdi, Pramit Saha, Venkata Praneeth Srungarapu, Sidney Fels
    Pages 133-141

  13. Back Matter

    Pages 143-149
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Editors and Affiliations

  • Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

    Martyn P. Nash, Poul M.F. Nielsen

  • Intelligent Systems for Medicine Laboratory, Department of Mechanical Engineering, The University of Western Australia, Perth, Australia

    Adam Wittek, Karol Miller, Grand R. Joldes

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