- Table View
- List View
Computational Biomechanics for Medicine: Towards Automation and Robustness of Computations in the Clinic
by Martyn P. Nash Adam Wittek Poul M. F. Nielsen Magdalena Kobielarz Anju R. Babu Karol MillerThis book presents contributions from the MICCAI 2022 Computational Biomechanics for Medicine Workshop. "Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held in 2022 in Singapore. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes MICCAI topics of Medical Image Computing, Computer-Aided Modeling and Evaluation of Surgical Procedures, and Imaging, Analysis Methods for Image Guided Therapies, Computational Physiology, and Medical Robotics. Specific topics covered include medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.
Computational Biomechanics for Medicine: Models, Algorithms And Implementation
by Poul M.F. Nielsen Karol MillerMathematical modelling and computer simulation have proved tremendously successful in engineering. One of the greatest challenges for mechanists is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. The proposed workshop will provide an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. For example, continuum mechanics models provide a rational basis for analysing biomedical images by constraining the solution to biologically reasonable motions and processes. Biomechanical modelling can also provide clinically important information about the physical status of the underlying biology, integrating information across molecular, tissue, organ, and organism scales. The main goal of this workshop is to showcase the clinical and scientific utility of computational biomechanics in computer-integrated medicine.
Computational Biomechanics for Medicine: Soft Tissues and the Musculoskeletal System
by Poul M.F. Nielsen Karol Miller Adam WittekOne of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. The proposed workshop will provide an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. <P><P> Computational Biomechanics for Medicine: Soft Tissues and the Musculoskeletal System collects the papers from the Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2010) in Beijing, dedicated to research in the field of medical image computing and computer assisted medical interventions. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, medical robotics.
Computational Biomechanics for Medicine: Deformation and Flow
by Poul M.F. Nielsen Karol Miller Adam WittekOne of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. This book is an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine.<P><P> Computational Biomechanics for Medicine: Deformation and Flow collects the papers from the Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2011) dedicated to research in the field of medical image computing and computer assisted medical interventions. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, and medical robotics.
Computational Biomechanics for Medicine: Models, Algorithms and Implementation
by Poul M.F. Nielsen Karol Miller Adam WittekOne of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. This book is an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. Computational Biomechanics for Medicine: Models, Algorithms and Implementation collects the papers from the Seventh Computational Biomechanics for Medicine Workshop held in Nice in conjunction with the Medical Image Computing and Computer Assisted Intervention conference. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, and medical robotics.
Computational Biomechanics for Medicine: From Algorithms to Models and Applications
by Poul M.F. Nielsen Karol Miller Adam Wittek Barry J. Doyle Grand JoldesMathematical modelling and computer simulation have proved tremendously successful in engineering. One of the greatest challenges for mechanists is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. The proposed workshop will provide an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. For example, continuum mechanics models provide a rational basis for analysing biomedical images by constraining the solution to biologically reasonable motions and processes. Biomechanical modelling can also provide clinically important information about the physical status of the underlying biology, integrating information across molecular, tissue, organ, and organism scales. The main goal of this workshop is to showcase the clinical and scientific utility of computational biomechanics in computer-integrated medicine.
Computational Biomechanics for Medicine: Imaging, Modeling and Computing
by Poul M.F. Nielsen Karol Miller Adam Wittek Barry Doyle Grand R. JoldesThe Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements. This volume comprises eighteen of the newest approaches and applications of computational biomechanics, from researchers in Australia, New Zealand, USA, UK, Switzerland, Scotland, France and Russia. Some of the interesting topics discussed are: tailored computational models; traumatic brain injury; soft-tissue mechanics; medical image analysis; and clinically-relevant simulations. <P><P>One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine. We hope the research presented within this book series will contribute to overcoming this grand challenge.
Computational Biomechanics of the Wrist Joint (SpringerBriefs in Applied Sciences and Technology)
by Mohammed Rafiq Abdul Kadir Mohd Nazri BajuriThis book presents an analysis of the stress distribution and contact stresses in severe rheumatoid wrist after total wrist arthroplasty. It assesses and compares the load transfer throughout the joint and contact pressure at the articulations. The data obtained from this study is of importance as this provide greater evidence to the benefits of total wrist arthroplasty in rheumatoid arthritis patients.
Computational Cancer Biology: An Interaction Network Approach (SpringerBriefs in Electrical and Computer Engineering)
by Mathukumalli VidyasagarThis brief introduces people with a basic background in probability theory to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics. The title mentions "cancer biology" and the specific illustrative applications reference cancer data but the methods themselves are more broadly applicable to all aspects of computational biology. Aside from providing a self-contained introduction to basic biology and to cancer, the brief describes four specific problems in cancer biology that are amenable to the application of probability-based methods. The application of these methods is illustrated by applying each of them to actual data from the biology literature. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems.
Computational Cardiovascular Mechanics: Modeling and Applications in Heart Failure
by Mark B. Ratcliffe Julius M. Guccione Ghassan S. KassabComputational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD). Edited by experts in the field, researchers involved with biomedical and mechanical engineering will find Computational Cardiovascular Mechanics a valuable reference.
Computational Chemistry Methodology in Structural Biology and Materials Sciences
by Tanmoy Chakraborty, Prabhat Ranjan and Anand PandeyComputational Chemistry Methodology in Structural Biology and Materials Sciences provides a selection of new research in theoretical and experimental chemistry, focusing on topics in the materials science and biological activity. Part 1, on Computational Chemistry Methodology in Biological Activity, of the book emphasizes presents new developments in the domain of theoretical and computational chemistry and its applications to bioactive molecules. It looks at various aspects of density functional theory and other issues. Part 2, on Computational Chemistry Methodology in Materials Science, presents informative new research on computational chemistry as applied to materials science. The wide range of topics regarding the application of theoretical and experimental chemistry and materials science and biological domain will be valuable in the context of addressing contemporary research problems.
Computational Color Imaging: 8th International Workshop, CCIW 2024, Milan, Italy, September 25–27, 2024, Proceedings (Lecture Notes in Computer Science #15193)
by Raimondo Schettini Alain Trémeau Shoji Tominaga Simone Bianco Marco BuzzelliThis book constitutes the refereed proceedings of the 8th International Workshop on Computational Color Imaging, CCIW 2024, held in Milan, Italy, in September 2024. The 18 full papers presented in this volume were carefully reviewed and selected from 21 submissions. In addition, the proceedings include 2 invited papers. They are grouped into the following topics: color theory and spaces; image enhancement and retinex theory; hyperspectral and spectral imaging; printing and machine learning applications; perceptual quality, medical imaging, and art applications; color constancy.
Computational Color Science: Variational Retinex-like Methods
by Edoardo ProvenziThis book provides a systematic discussion about perceptually-inspired color correction algorithms. The basic information about the phenomenological characteristics of the human visual system, recalled in the first chapter, are then used as guiding principle to build computational models to modify the color content of digital images. A particular interest is dedicated to the mathematical analysis of the famous Retinex model and to the construction of a general variational framework where Retinex-like algorithms can be embedded and compared.
Computational Concepts in Simulation of Welding Processes (SpringerBriefs in Applied Sciences and Technology)
by Reza Beygi Eduardo Marques Lucas F.M. da SilvaThis book introduces basic concepts related to computer-aided simulation of welding and prepares the reader to perform the simulation of welding by commercial simulation software. It focuses on conceptualizing the physics of welding, heat transfer, stress development and microstructure development in welding. This book helps the reader to implement these concepts in any commercial software to simulate the welding process according to their own requirement.
Computational Continuum Mechanics
by Ahmed A. ShabanaAn updated and expanded edition of the popular guide to basic continuum mechanics and computational techniques This updated third edition of the popular reference covers state-of-the-art computational techniques for basic continuum mechanics modeling of both small and large deformations. Approaches to developing complex models are described in detail, and numerous examples are presented demonstrating how computational algorithms can be developed using basic continuum mechanics approaches. The integration of geometry and analysis for the study of the motion and behaviors of materials under varying conditions is an increasingly popular approach in continuum mechanics, and absolute nodal coordinate formulation (ANCF) is rapidly emerging as the best way to achieve that integration. At the same time, simulation software is undergoing significant changes which will lead to the seamless fusion of CAD, finite element, and multibody system computer codes in one computational environment. Computational Continuum Mechanics, Third Edition is the only book to provide in-depth coverage of the formulations required to achieve this integration. Provides detailed coverage of the absolute nodal coordinate formulation (ANCF), a popular new approach to the integration of geometry and analysis Provides detailed coverage of the floating frame of reference (FFR) formulation, a popular well-established approach for solving small deformation problems Supplies numerous examples of how complex models have been developed to solve an array of real-world problems Covers modeling of both small and large deformations in detail Demonstrates how to develop computational algorithms using basic continuum mechanics approaches Computational Continuum Mechanics, Third Edition is designed to function equally well as a text for advanced undergraduates and first-year graduate students and as a working reference for researchers, practicing engineers, and scientists working in computational mechanics, bio-mechanics, computational biology, multibody system dynamics, and other fields of science and engineering using the general continuum mechanics theory.
Computational Continuum Mechanics
by Ahmed A. ShabanaThis updated text presents the theory of continuum mechanics using computational methods. The text covers a broad range of topics including general problems of large rotation and large deformations and the development and limitations of finite element formulations in solving such problems. Dr. Shabana introduces theories on motion kinematics, strain, forces, and stresses, and goes on to discuss linear and nonlinear constitutive equations, including viscoelastic and plastic constitutive models. General nonlinear continuum mechanics theory is used to develop small and large finite element formulations which correctly describe rigid body motion for use in engineering applications. This second edition features a new chapter that focuses on computational geometry and finite element analysis. This book is ideal for graduate and undergraduate students, professionals, and researchers who are interested in continuum mechanics.
Computational Design and Digital Manufacturing (Management And Industrial Engineering Series)
by Panagiotis Kyratsis Athanasios Manavis J. Paulo DavimThis book presents the latest advances in computational and parametric design engineering, as well as digital tools related to manufacturing. It covers design and manufacturing process such as CAD-based design/manufacturing, parametric design, algorithmic design and process automation, and several digital tools and applications.
Computational Design of Battery Materials (Topics in Applied Physics #150)
by Dorian A. H. HanaorThis book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction, and design of high-performance battery materials. Rechargeable batteries have become one of the most important technologies supporting the global transition from fossil fuels to renewable energy sources. Aided by the growth of high-performance computing and machine learning technologies, computational methods are being applied to design the battery materials of the future and pave the way to a more sustainable energy economy. In this contributed collection, leading battery material researchers from across the globe share their methods, insights, and expert knowledge in the application of computational methods for battery material design and interpretation. With chapters featuring an array of computational techniques applied to model the relevant properties of cathodes, anodes, and electrolytes, this book provides the ideal starting point for any researcher looking to integrate computational tools in the development of next-generation battery materials and processes.
Computational Design of Engineering Materials: Fundamentals and Case Studies
by Yong Du Rainer Schmid-Fetzer Jincheng Wang Shuhong Liu Jianchuan Wang Zhanpeng JinIntroducing state-of-the art computational methods, this book combines detailed explanations with real-world case studies to give a full grounding in the design of engineering materials. This book presents a wide spectrum of key computational methods, such as CALPHAD-method, first-principles calculations, phase-field simulation and finite element analysis, covering the atomic-meso-macro scale range. The reader will see these methods applied to case studies for steel, light alloys, superalloys, cemented carbides, hard coating and energy materials, demonstrating in detail how real-world materials are designed. Online ancillary material includes input files for computational design software, providing the reader with hands-on design experience. Step-by-step instructions will allow you to perform and repeat the simulations discussed in the book. Aimed at both graduate and undergraduate students as well as non-specialist researchers in materials science and engineering, including ceramics, metallurgy, and chemistry, this is an ideal introductory and reference book.
Computational Design of Rolling Bearings
by Hung Nguyen-SchäferThis bookcomprehensively presents the computational design of rolling bearings dealingwith many interdisciplinary difficult working fields. They encompasselastohydrodynamics (EHD), Hertzian contact theory, oil-film thickness in elastohydrodynamiclubrication (EHL), bearing dynamics, tribology of surface textures, fatigue failuremechanisms, fatigue lifetimes of rolling bearings and lubricating greases, Weibull distribution,rotor balancing, and airborne noises (NVH) in the rolling bearings. Furthermore, the readers are provided with hands-on essential formulas based onthe up-to-date DIN ISO norms and helpful examples for computational design ofrolling bearings. The topics are intended for undergraduate and graduate students inmechanical and material engineering, research scientists, and practicingengineers who want to understand the interactions between these working fieldsand to know how to design the rolling bearings for automotive industry and manyother industries.
Computational Diffusion MRI: 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science #13722)
by Suheyla Cetin-Karayumak Daan Christiaens Matteo Figini Pamela Guevara Tomasz Pieciak Elizabeth Powell Francois RheaultThis book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2022, which was held 22 September 2022, in conjunction with MICCAI 2022. The 12 full papers included were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: Data processing, Signal representations, Tractography and WM pathways.
Computational Diffusion MRI: 15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (Lecture Notes in Computer Science #15171)
by Maxime Chamberland Tom Hendriks Muge Karaman Remika Mito Nancy Newlin S. Shailja Elinor ThompsonThis book constitutes the proceedings of the 15th International Workshop, CDMRI 2024, held in conjunction with MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Marrakesh, Morocco, October 6, 2024. The 19 full papers presented in this book were carefully reviewed and selected from 22 submissions.
Computational Diffusion MRI: 14th International Workshop, CDMRI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings (Lecture Notes in Computer Science #14328)
by Muge Karaman Remika Mito Elizabeth Powell Francois Rheault Stefan WinzeckThis book constitutes the proceedings of the 14th International Workshop, CDMRI 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 17regular papers presented in this book were carefully reviewed and selected from 19 submissions. These contributions cover various aspects, including preprocessing, signal modeling, tractography, bundle segmentation, and clinical applications. Many of these studies employ novel machine learning implementations, highlighting the evolving landscape of techniques beyond the more traditional physics-based algorithms.
Computational Economic Analysis for Engineering and Industry (Systems Innovation Book Series)
by Adedeji B. Badiru Olufemi A. OmitaomuRecent global anxiety indicates that more focus needs to be directed at economic issues related to industry. Conventional techniques often do not adequately embrace the integrated global factors that affect unique industries and industry focused computational tools have not been readily available. Until now. Computational Economic Analysis for Engi
Computational EEG Analysis: Methods and Applications (Biological and Medical Physics, Biomedical Engineering)
by Chang-Hwan ImThis book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.