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Author: Marco Viceconti Publisher: Cambridge University Press ISBN: 0521769507 Category : Mathematics Languages : en Pages : 223
Book Description
Systematically working from the whole body down to cellular levels, this book presents a multiscale, integrative approach to skeletal research.
Author: Marco Viceconti Publisher: Cambridge University Press ISBN: 0521769507 Category : Mathematics Languages : en Pages : 223
Book Description
Systematically working from the whole body down to cellular levels, this book presents a multiscale, integrative approach to skeletal research.
Author: Peter Pivonka Publisher: Springer ISBN: 3319588451 Category : Science Languages : en Pages : 295
Book Description
The book presents state-of-the-art developments in multiscale modeling and latest experimental data on multiscale mechanobiology of bone remodeling and adaptation including fracture healing applications. The multiscale models include musculoskeletal models describing bone-muscle interactions during daily activities such as walking or running, micromechanical models for estimation of bone mechanical properties, bone remodeling and adaptation models, cellular models describing the complex bone-cell interactions taking into account biochemical and biomechanical regulatory factors. Also subcellular processes are covered including arrangement of actin filaments due to mechanical loading and change of receptor configurations.
Author: Vittorio Cristini Publisher: Cambridge University Press ISBN: 1139491504 Category : Technology & Engineering Languages : en Pages : 299
Book Description
Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.
Author: Dimitrios I. Fotiadis Publisher: John Wiley & Sons ISBN: 1119517354 Category : Science Languages : en Pages : 404
Book Description
Multiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.
Author: Suvranu De Publisher: Springer ISBN: 1447165993 Category : Technology & Engineering Languages : en Pages : 287
Book Description
Presenting a state-of-the-art overview of theoretical and computational models that link characteristic biomechanical phenomena, this book provides guidelines and examples for creating multiscale models in representative systems and organisms. It develops the reader's understanding of and intuition for multiscale phenomena in biomechanics and mechanobiology, and introduces a mathematical framework and computational techniques paramount to creating predictive multiscale models. Biomechanics involves the study of the interactions of physical forces with biological systems at all scales – including molecular, cellular, tissue and organ scales. The emerging field of mechanobiology focuses on the way that cells produce and respond to mechanical forces – bridging the science of mechanics with the disciplines of genetics and molecular biology. Linking disparate spatial and temporal scales using computational techniques is emerging as a key concept in investigating some of the complex problems underlying these disciplines. Providing an invaluable field manual for graduate students and researchers of theoretical and computational modelling in biology, this book is also intended for readers interested in biomedical engineering, applied mechanics and mathematical biology.
Author: Nadia Magnenat-Thalmann Publisher: Springer Science & Business Media ISBN: 1447162757 Category : Computers Languages : en Pages : 319
Book Description
3D Multiscale Physiological Human aims to promote scientific exchange by bringing together overviews and examples of recent scientific and technological advancements across a wide range of research disciplines. As a result, the variety in methodologies and knowledge paradigms are contrasted, revealing potential gaps and opportunities for integration. Chapters have been contributed by selected authors in the relevant domains of tissue engineering, medical image acquisition and processing, visualization, modeling, computer aided diagnosis and knowledge management. The multi-scale and multi-disciplinary research aspects of articulations in humans are highlighted, with a particular emphasis on medical diagnosis and treatment of musculoskeletal diseases and related disorders. The need for multi-scale modalities and multi-disciplinary research is an emerging paradigm in the search for a better biological and medical understanding of the human musculoskeletal system. This is particularly motivated by the increasing socio-economic burden of disability and musculoskeletal diseases, especially in the increasing population of elderly people. Human movement is generated through a complex web of interactions between embedded physiological systems on different spatiotemporal scales, ranging from the molecular to the organ level. Much research is dedicated to the understanding of each of these systems, using methods and modalities tailored for each scale. Nevertheless, combining knowledge from different perspectives opens new venues of scientific thinking and stimulates innovation. Integration of this mosaic of multifaceted data across multiple scales and modalities requires further exploration of methods in simulations and visualization to obtain a comprehensive synthesis. However, this integrative approach cannot be achieved without a broad appreciation for the multiple research disciplines involved.
Author: Judy Ping Yang Publisher: ISBN: Category : Languages : en Pages : 206
Book Description
Biot's theory has been widely used to construct the poroelasticity models for describing the mechanical behavior of biological materials. This phenomenological framework, however, does not take the explicit microstructural configuration and the corresponding solid-fluid coupling into consideration. This work investigates how the microstructural configuration and material properties of porous materials constitute the macroscopic poroelastic material behavior described by the classical Biot's theory. We introduced an asymptotic based homogenization method to correlate the macro- and micro-mechanical behaviors of poroelastic materials, where an elastic solid and Newtonian fluid of low viscosity are considered. Through this homogenization process, the generalized Darcy's law, homogenized macroscopic continuity equation, and homogenized macroscopic equilibrium equation were obtained, where the homogenized macroscopic continuity and equilibrium equations reassemble the governing equations in Biot's theory. For an effective modeling of microstructures, a numerical solution for PDEs based on a strong form collocation that employs image pixels as the discretization points is proposed. To achieve this objective, a gradient reproducing kernel collocation method (G-RKCM) formulated based on the partition of nullity and gradient reproducing conditions was developed. This approach reduces the order of differentiation to the first order when solving second order PDEs with strong form collocation. We showed that the same number of collocation points and source points can be used in G-RKCM for optimal convergence, unlike other strong form collocation methods. In addition, same order of convergence rate in the solution and its first order derivative are achieved, owing to the imposition of gradient reproducing conditions. The computational complexity of G-RKCM is also shown to be an enhancement over other strong form collocation methods, such as the reproducing kernel collocation method (RKCM). In this work, we introduced the active contour model based on variational level set formulation for interface identification and boundary segmentation for the discretization of microstructures based on medical images. Using pixel point discretization, we introduced the RKCM and G-RKCM to solve the level set equation. In particular, the G-RKCM has been shown be effective since the second derivatives of the level set function involved in the regularization term are approximated by the first order differentiations of the gradient RK shape functions. We further showed that a B-spline kernel function with lower continuity can be preferably used to avoid the oscillation of level set functions in the two-color images. The image based G-RKCM was applied to model trabecular bone microstructures with complex geometry for both solid and fluid phases. The corresponding numerical issues such as interface discretization and kernel function support size selection have been addressed. The investigation on the proper choice of unit cell dimension and image resolution has been performed, which provides guidance in the image-based trabecular bone modeling. The validation of the proposed image based multiscale modeling framework has been carried out by comparing the numerical prediction of effective material properties with experimental data of trabecular bone in the literature and solving a macroscopic trabecular bone problem using the homogenized material constants.
Author: Vincent Carriou Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
The neuromuscular and musculoskeletal systems are complex System of Systems (SoS) that perfectly interact to provide motion. From this interaction, muscular force is generated from the muscle activation commanded by the Central Nervous System (CNS) that pilots joint motion. In parallel an electrical activity of the muscle is generated driven by the same command of the CNS. This electrical activity can be measured at the skin surface using electrodes, namely the surface electromyogram (sEMG). The knowledge of how these muscle out comes are generated is highly important in biomechanical and clinical applications. Evaluating and quantifying the interactions arising during the muscle activation are hard and complex to investigate in experimental conditions. Therefore, it is necessary to develop a way to describe and estimate it. In the bioengineering literature, several models of the sEMG and the force generation are provided. They are principally used to describe subparts of themuscular outcomes. These models suffer from several important limitations such lacks of physiological realism, personalization, and representability when a complete muscle is considered. In this work, we propose to construct bioreliable, personalized and fast models describing electrical and mechanical activities of the muscle during contraction. For this purpose, we first propose a model describing the electrical activity at the skin surface of the muscle where this electrical activity is determined from a voluntary command of the Peripheral Nervous System (PNS), activating the muscle fibers that generate a depolarization of their membrane that is filtered by the limbvolume. Once this electrical activity is computed, the recording system, i.e. the High Density sEMG (HD-sEMG) grid is define over the skin where the sEMG signal is determined as a numerical integration of the electrical activity under the electrode area. In this model, the limb is considered as a multilayered cylinder where muscle, adipose and skin tissues are described. Therefore, we propose a mechanical model described at the Motor Unit (MU) scale. The mechanical outcomes (muscle force, stiffness and deformation) are determined from the same voluntary command of the PNS, and is based on the Huxley sliding filaments model upscale at the MU scale using the distribution-moment theory proposed by Zahalak. This model is validated with force profile recorded from a subject implanted with an electrical stimulation device. Finally, we proposed three applications of the proposed models to illustrate their reliability and usefulness. A global sensitivity analysis of the statistics computed over the sEMG signals according to variation of the HD-sEMG electrode grid is performed. Then, we proposed in collaboration a new HDsEMG/force relationship, using personalized simulated data of the Biceps Brachii from the electrical model and a Twitch based model to estimate a specific force profile corresponding to a specific sEMG sensor network and muscle configuration. To conclude, a deformableelectro-mechanicalmodelcouplingthetwoproposedmodelsisproposed. This deformable model updates the limb cylinder anatomy considering isovolumic assumption and respecting incompressible property of the muscle.
Author: Publisher: Academic Press ISBN: 0080556531 Category : Science Languages : en Pages : 605
Book Description
Mathematical and computational biology is playing an increasingly important role in the biological sciences. This science brings forward unique challenges, many of which are, at the moment, beyond the theoretical techniques available. Developmental biology, due to its complexity, has lagged somewhat behind its sister disciplines (such as molecular biology and population biology) in making use of quantitative modeling to further biological understanding. This volume comprises work that is among the best developmental modeling available and we feel it will do much to remedy this situation. This book is aimed at all those with an interest in the interdisciplinary field of computer and mathematical modeling of multi-cellular and developmental systems. It is also a goal of the Editors to attract more developmental biologists to consider integrating modeling components into their research. Most importantly, this book is intended to serve as a portal into this research area for younger scientists – especially graduate students and post-docs, from both biological and quantitative backgrounds. * Articles written by leading exponents in the field * Provides techniques to address multiscale modeling * Coverage includes a wide spectrum of modeling approaches * Includes descriptions of the most recent advances in the field
Author: Marco Viceconti
Author: Marco Viceconti
Author: Peter Pivonka
Author: Vittorio Cristini
Author: Dimitrios I. Fotiadis
Author: Suvranu De
Author: Jerome Noailly
Author: Nadia Magnenat-Thalmann
Author: Judy Ping Yang
Author: Vincent Carriou
Author: