1st Edition

Computational Bioengineering

Edited By Guigen Zhang Copyright 2015
    508 Pages
    by CRC Press

    508 Pages 202 B/W Illustrations
    by CRC Press

    Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the latest computational capabilities to deal with biomedical problems using an integrative approach. This approach fosters an integrative problem-solving mentality for the generation of new and novel solutions to future biomedical problems.

    Each chapter begins with a brief review of the advances in computational efforts in the selected topic area and ends with case studies with detailed technical information. The approach provides a relevant overview of the selected topic area and demonstrates, with case studies, the power of computational modeling in offering predictive capabilities to assess new surgical concepts and medical devices and post-operative surgical outcomes. The book illustrates the expanded capabilities of computational bioengineering through discussions of bioengineering problems and discusses an image-based bioengineering modeling technique.

    Although computer modeling has been used to tackle bioengineering problems for decades, a systematic study of computational bioengineering not only addresses many critical challenges facing bioengineering but also sets a new direction for advancing the field. In a long run, this book is expected to foster an integrative problem-solving mentality that will help you generate new and novel solutions to future biomedical problems.

    An Integrative Way of Solving Bioengineering Problems
    Guigen Zhang
    Toward Predicting the Performance of Joint Arthroplasty
    Clare K. Fitzpatrick, Melinda Harman, Mark A. Baldwin, Chadd W. Clary, Lorin P. Maletsky, Peter J. Laz, and Paul J. Rullkoetter
    Mathematical Modelling of Basic Multicellular Units: The Functional Units of Bone Remodeling
    Pascal R. Buenzli and Peter Pivonka
    Effect of Nonlinearity in Tensioned Wires of an External Fixation Device
    Guigen Zhang
    Viscoelasticity of Load-Bearing Soft Tissues: Constitutive Formulation, Numerical Integration, and Computational Implementation
    Christian M. Puttlitz, Snehal S. Shetye, and Kevin L. Troyer
    Physical Signals and Solute Transport in Human Intervertebral Disc: Multiphasic Mechano-Electrochemical Finite Element Analysis
    Yongren Wu, Sarah E. Cisewski, and Hai Yao
    Multiscale Modeling of Cardiovascular Flows
    Alison L. Marsden and Ethan Kung
    Computational Fluid Modeling of Heart Valves
    Manuel Salinas and Sharan Ramaswamy
    Mathematical Modeling of Cancer Metastases
    Marc D. Ryser and Svetlana V. Komarova
    Dynamic Processes in Photodynamic Therapy
    Timothy C. Zhu, Baochang Liu, and Michele M. Kim
    Computational Cell Phenotyping in the Lab, Plant, and Clinic
    Rahul Rekhi, David T. Ryan, Becky Zaunbrecher, Chenyue W. Hu, and Amina A. Qutub
    Molecular Simulation of Protein-Surface Interactions
    Xianfeng Li and Robert A. Latour
    Structure of the Electrical Double Layers: Insights from Continuum and Atomistic Simulations
    Guang Feng, Guoqing Hu, Rui Qiao, and Narayana R. Aluru
    A Solid-State Nanopore as Biosensor
    Samuel Bearden and Guigen Zhang
    DNA Electrokinetic Translocation through a Nanopore
    Shizhi Qian and Li-Hsien Yeh
    Dielectrophoresis for Bioengineering Applications and Some Associated Issues
    Yu Zhao, Vandana Pandian, Johnie Hodge, Jozef Brcka, Jacques Faguet, and Guigen Zhang
    Image-Based Modeling for Bioengineering Problems
    Adrienne M. Madison and Mark A. Haidekker


    Guigen Zhang, PhD, is a professor of bioengineering and of electrical and computer engineering at Clemson University. He is the executive director of the Institute for Biological Interfaces of Engineering, a research and education/training institute designated by the South Carolina Commission on Higher Education. Prof. Zhang is also a fellow of the American Institute for Medical and Biological Engineering (AIMBE). He has published extensively in the areas of biomechanics, biomaterials, and biosensors, and he holds numerous patents in nanotechnology-enhanced structures and biosensors.

    "… an excellent overview of state-of-the-art methods developed to approach complex cardiovascular problems. It provides a way to model the integrative physiology aspects of the circulatory system – an aspect necessary when dealing with "patient specific" modeling."
    —Lakshmi Prasad Dasi, Colorado State University

    "… very well written … large range of computation modeling approaches discussed in the book and that have been developed to address a broad spectrum of problems in the field of bioengineering."
    —Sundar Srinivasan, University of Washington

    "… presents a timely and interactive compilation of work in the forefronts of computational bioengineering. … ideal for the use in both research and training; it will benefit and bringer closer the scientific computation and bioengineering communities."
    —Hao Lin, Rutgers, The State University of New Jersey

    Zhang (Clemson Univ.) has compiled writings from a long list of contributors in this 17-chapter volume. The book presents a range of examples of modern computational bioengineering topics in areas such as the cardiovascular and skeletomuscular systems, and transport phenomena and mechanics that lend themselves well to quantitative analysis. The work bridges multiple scales, from nanopores and matrix microstructure to whole organ systems. Each chapter starts with the biological background of the topic, followed by the theoretical underpinnings and then a description of a computational model, along with some representative results and often some comparison with experimental data. The chapters range in focus from basic physiology to more clinically applied biomedical topics, which will be particularly interesting to biomedical engineering students. Readers will not necessarily take away from this book the ability to implement any of these modern computational techniques, but they will gain an increased awareness of the breadth of computational bioengineering research, and a wealth of appropriate references are provided where readers can learn more. The data graphs and schematics in both gray scale and color are easy to read and informative. The book is appropriate for advanced students and postgraduate practitioners new to bioengineering.
    —CHOICE, June 2016 Issue