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Computational Biomechanics for Medicine

Measurements, Models, and Predictions

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

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English
Springer Nature Switzerland AG
25 December 2018
This volume comprises the latest developments in both fundamental science and patient-specific applications, discussing topics such as: cellular mechanics, injury biomechanics, biomechanics of the heart and vascular system, algorithms of computational biomechanics for medical image analysis, and both patient-specific fluid dynamics and solid mechanics simulations. With contributions from researchers world-wide, Computational Biomechanics for Medicine: Measurments, Models, and Predictions provides an opportunity for specialists in the field to present their latest methodologies and advancements.
Edited by:   , , , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Edition:   Softcover Reprint of the Original 1st 2019 ed.
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 10mm
Weight:   454g
ISBN:   9783030092719
ISBN 10:   3030092712
Pages:   166
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Chapter1: Making head and neck reconstruction surgery an engineering process.- Chapter2: Atlas of Acceleration-Induced Brain Deformation from Measurements in Vivo.- Chapter3: Reconstruction of Real-World Car-to-Pedestrian Accident Using Computational Biomechanics Model: Effects of the Choice of Boundary Conditions of the Brain on Brain Injury Risk.- Chapter4: Computational Modeling of Fluid-Structure Interaction between Blood Flow and Mitral Valve.- Chapter5: Maximum Principal AAA Wall Stress is Proportional to Wall Thickness.- Chapter6: An Immersed Boundary Method for Detail-Preserving Soft Tissue Simulation from Medical Images.- Chapter7: A Flux-Conservative Finite Difference scheme for the numerical solution of the nonlinear bioheat equation.- Chapter8: Quantifying Carotid Pulse Waveforms Using Subpixel Image Registration.- Chapter9: A Discrete Element Method for modelling cell mechanics – application to the simulation of chondrocyte behavior in the growth plate.- Chapter10: Image-based biomechanical modelling of heart failure.- Chapter11: A comparison of biomechanical models for MRI to digital breast tomosynthesis 3D registration.- Chapter12: Towards a real-time full-field stereoscopic imaging system for tracking lung surface deformation under pressure controlled ventilation.- Chapter13: Patient-specific simulation: non-destructive identification method for soft tissue under large strain – Application to pelvic system.- Chapter14: Simulating Platelet Transport in Type-B Aortic Dissection.

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