Computational biomechanics for medicine : personalisation, validation and therapy /

Computational biomechanics for medicine : personalisation, validation and therapy /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2020]
Description:1 online resource (150 pages)
Language:English
Subject:
Medicine -- Data processing.
Biomedical engineering -- Data processing.
Biomedical engineering -- Data processing.
Medicine -- Data processing.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12601778
Hidden Bibliographic Details
Other authors / contributors:Nash, Martyn P., editor.
Nielsen, Poul M. F. (Poul Michael Fønss), editor.
Wittek, Adam, editor.
Miller, Karol, editor.
Joldes, Grand R., editor.
ISBN:9783030159238
303015923X
9783030159221
3030159221
9783030159245
3030159248
9783030159252
3030159256
Digital file characteristics:text file PDF
Notes:2.3 Determining the Parameters for New Algorithm for Modelling of Interactions Between the Needle and Soft Tissues Using Kinematic Approach
Includes bibliographical references.
Print version record.
Summary: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.
Other form:Print version: Nash, Martyn P. Computational Biomechanics for Medicine : Personalisation, Validation and Therapy. Cham : Springer, ©2019 9783030159221
Standard no.:10.1007/978-3-030-15923-8
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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