Computational biomechanics for medicine : personalisation, validation and therapy

Computational biomechanics for medicine : personalisation, validation and therapy / Martyn P. Nash, Poul M.F. Nielsen, Adam Wittek, Karol Miller, Grand R. Joldes, editors.

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...

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Bibliographic Details
Other Authors: Nash, Martyn P. (Editor), Nielsen, Poul M. F. (Poul Michael Fønss) (Editor), Wittek, Adam (Editor), Miller, Karol (Editor), Joldes, Grand R. (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Subjects:
Medicine > Data processing.
Biomedical engineering > Data processing.
Radiology.
Mechanics.
Robotics.
Automation.
biomedical engineering.
radiology.
mechanics (physics)
automation.
Biomedical engineering > Data processing
Medicine > Data processing
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro; Preface; Contents; Biomechanical Simulation of Vaginal Childbirth: The Colors of the Pelvic Floor Muscles; 1 Introduction; 2 Mechanism of Normal Labor; 3 Biomechanical Childbirth Simulation; 3.1 Constitutive Models; 3.1.1 Isotropic Constitutive Models: Simulating the Passive Behavior; 3.1.2 Anisotropic Constitutive Models: Simulating the Passive and Active Behavior of the Muscle; 3.2 In Vivo Characterization; 3.3 Vaginal Delivery Simulation; 4 Personalized Childbirth Models; 5 Conclusions; References
  • Patient-Specific Modeling of Pelvic System from MRI for Numerical Simulation: Validation Using a Physical Model1 Introduction; 2 Materials and Methods; 2.1 Initial Generic CAD Model; 2.2 Physical Model; 2.3 Geometry Reconstruction from Image Data; 2.4 Reduced CAD Model and Geometrical Morphing; 3 Results; 3.1 Comparison Between Manual Procedure and Initial CAD Model; 3.2 Comparison Between Computer-Assisted Reconstruction and Initial CAD Model; 4 Discussions; 5 Conclusion; References; Numerical Analysis of the Risk of Pelvis Injuries Under Multidirectional Impact Load; 1 Introduction
  • 2 Methodology2.1 Boundary Condition; 3 Results and Discussion; 4 Conclusions; References; Parametric Study of Lumbar Belts in the Case of Low Back Pain: Effect of Patients' Specific Characteristics; 1 Introduction; 2 Methodology; 2.1 Trunk Modelling; 2.1.1 Construction of Geometric Model; 2.1.2 Finite Element Modelling of the Trunk; 2.1.3 Modelling of the Lumbar Belt; 2.1.4 Assessment of Belt Modelling; 2.2 Parametric Study; 2.2.1 Input Parameters; 2.2.2 Output Parameters; 2.2.3 Design of Experiments; 3 Results; 3.1 Convergence Study; 3.2 Assessment of Belt Modelling
  • 3.3 Example of Detailed Results for a Modelled Subject3.4 Parametric Study; 4 Discussion; 4.1 Trunk Model; 4.2 Mechanism of Action of a Lumbar Belt; 5 Conclusion; References; Quantitative Validation of MRI-Based Motion Estimation for Brain Impact Biomechanics; 1 Introduction; 2 Materials and Methods; 2.1 Experimental Phantom; 2.2 Image Acquisition and Motion Estimation; 3 Results and Discussion; 3.1 Displacement Calibration; 3.2 Strain Calibration; 4 Conclusion; References; Meshless Method for Simulation of Needle Insertion into Soft Tissues: Preliminary Results; 1 Introduction; 2 Methods
  • 2.1 Meshless Method for Simulation of Needle Insertion into Soft Tissues2.1.1 Meshless Total Lagrangian Explicit Dynamics (MTLED) Algorithm for Computing Soft Tissue Deformations; 2.1.2 A New Method for Modelling of Interactions Between the Needle and Soft Tissues Using Kinematic Approach; 2.2 Verification of the Proposed Meshless Method for Simulation of Needle Insertion into Soft Tissues; 2.2.1 Determining the Parameters for Our Meshless Method for Simulation of Needle Insertion into Soft Tissues

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