Computer methods, imaging and visualization in biomechanics and biomedical engineering selected papers from the 16th International Symposium CMBBE and 4th Conference on Imaging and Visualization, August 14-16, 2019, New York City, USA / Gerard A. Ateshian, Kristin M. Myers, João Manuel R. S. Tavares, editors.

This book gathers selected, extended and revised contributions to the 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, and the 4th Conference on Imaging and Visualization (CMBBE 2019), held on August 14-16, 2019, in New York City, USA. It reports on cuttin...

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Bibliographic Details
Corporate Authors:	International Symposium on Computer Methods in Biomechanics and Biomedical Engineering New York, N.Y., Conference on Imaging and Visualization
Other Authors:	Ateshian, Gerard A., Myers, Kristin M., Tavares, João Manuel R. S.
Format:	eBook
Language:	English
Published:	Cham : Springer, 2020.
Series:	Lecture notes in computational vision and biomechanics ; v. 36.
Subjects:	Biomechanics > Data processing > Congresses. Biomedical engineering > Congresses. Image processing. Mechanics of solids. Biomedical engineering. Computers > Computer Graphics. Science > Mechanics > Solids. Technology & Engineering > Biomedical. Biomedical engineering Electronic books. 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
About the Editors
Reduced-Order Models for Blood Pressure Drop Across Arterial Stenoses
1 Introduction
2 Fluid Models for Transstenotic Pressure Drop
2.1 The Navier-Stokes Equations
2.2 Long-Wavelength Simplification
2.3 One-Dimensional Model
2.4 Algebraic Model
3 Comparison of the Models on a Steady Case
3.1 Geometry of the Stenosed Artery
3.2 Numerical Methods
3.3 Comparison of the Center Pressure
3.4 Comparison of the Pressure Drop
4 Comparison Between Algebraic and 1D Models Under Unsteady Flow
4.1 Description of the 1D Model
4.2 Parameter Estimation Method
4.3 Estimation of Empirical Parameters on the 1D Model
4.4 Comparison Between Algebraic and 1D Models
5 Comparison Between Algebraic and Multi-Ring Models Under Unsteady Flow
6 Conclusion
References
Impacts of Flow Diverters on Hemodynamics of Intracranial Aneurysms
1 Introduction
2 Materials and Methods
2.1 Patient-Specific Data
2.2 Numerical Methods
2.3 Simulation Setup
3 Results
4 Discussions
5 Conclusions
References
Hypertrophic Cardiomyopathy Treatment
A Numerical Study
Abstract
1 Introduction
2 Methods
2.1 Study Overview
2.2 Geometry and Boundary Conditions
2.3 The Mathematical Model
2.4 The Numerical Model
2.5 Cases Studied and Investigated Parameters
3 Results
3.1 Structure Simulation
3.2 CFD Simulation
4 Discussions and Summary
Acknowledgements
References
Computational Assessment of Risk of Subdural Hematoma Associated with Ventriculoperitoneal Shunt Placement
1 Introduction
2 Methods
2.1 Head Model
2.2 Smoothed Particle Hydrodynamics Formulation
2.3 Computer Simulations
2.4 Simulating Normal-Pressure Hydrocephalus
2.5 Simulating Cerebrospinal Fluid Drainage
2.6 Bridging Veins
3 Results
4 Conclusion
References
Ligament Shear Wave Speeds Are Sensitive to Tensiometer-Tissue Interactions: A Parametric Modeling Study
Abstract
1 Introduction
2 Materials and Methods
2.1 Model Geometry
2.2 Constitutive Model
2.3 Code Verification
2.4 Model Boundary Conditions
2.5 Parametric Modeling and Analysis
3 Results
4 Discussion
4.1 Key Findings
4.2 Applications and Future Directions
4.3 Conclusion
Acknowledgements
A Appendix
A.1 Mesh Convergence
References
Computational Parametric Studies for Preclinical Evaluation of Total Knee Replacements
Abstract
1 Introduction
2 Computational Framework Development
2.1 Analytical Wear Model Development from Experimental Data
2.2 TKR FEA Contact and Wear Model
2.3 Development of a Computational Framework for Parametric Evaluation of TKR Wear
3 Validation of the Wear and FEA Models
3.1 Validation Against Pin-on-Disk Experiments
3.2 Comparison of FEA Wear Prediction to Knee Simulator Tests

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