Overview
- Presents the latest research outcomes through ample and detailed case studies and applications
- Offers integrated multi-disciplinary knowledge of anatomy, physiology, computer modelling, and fluid-structure interaction dynamics for biomedical research
- Gives the reader a quick start into the research by best practices guidelines, highlighting common pitfalls researchers encounter, and analysis techniques
- Includes computational models complete and ready for the reader to use to allow practical hands on learning
- Includes supplementary material: sn.pub/extras
Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book discusses geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. Where traditional research methodologies in the human cardiovascular system are challenging due to its invasive nature, several recent advances in medical imaging and computational fluid and solid mechanics modelling now provide new and exciting research opportunities. This emerging field of study is multi-disciplinary, involving numerical methods, computational science, fluid and structural mechanics, and biomedical engineering. Certainly any new student or researcher in this field may feel overwhelmed by the wide range of disciplines that need to be understood.
This unique book is one of the first to bring together knowledge from multiple disciplines, providing a starting point to each of the individual disciplines involved, attempting to ease the steep learning curve. This book presents elementary knowledge on the physiology of the cardiovascular system; basic knowledge and techniques on reconstructing geometric models from medical imaging; mathematics that describe fluid and structural mechanics, and corresponding numerical/computational methods to solve its equations and problems.
Many practical examples and case studies are presented to reinforce best practice guidelines for setting high quality computational models and simulations. These examples contain a large number of images for visualization, to explain cardiovascular physiological functions and disease. The reader is then exposed to some of the latest research activities through a summary of breakthrough research models, findings, and techniques.
The book’s approach is aimed at students and researchers entering this field from engineering, applied mathematics, biotechnology or medicine, wishing to engage in this emerging and exciting field of computational hemodynamics modelling.
Reviews
“The purpose is to describe geometric and mathematical models that can be used to study fluid and structural mechanics in the cardiovascular system. The book is unique in being one of the first to bring together knowledge from multiple disciplines … and present it in a consolidated manner. The audience includes students, health professionals, and researchers entering the emerging and exciting field of computational hemodynamics modeling from engineering, applied mathematics, biotechnology, or medicine.” (Pooja Sethi, Doody's Book Reviews, May, 2015)
Authors and Affiliations
Bibliographic Information
Book Title: Computational Hemodynamics – Theory, Modelling and Applications
Authors: Jiyuan Tu, Kiao Inthavong, Kelvin Kian Loong Wong
Series Title: Biological and Medical Physics, Biomedical Engineering
DOI: https://doi.org/10.1007/978-94-017-9594-4
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2015
Hardcover ISBN: 978-94-017-9593-7Published: 23 March 2015
Softcover ISBN: 978-94-024-0742-6Published: 13 October 2016
eBook ISBN: 978-94-017-9594-4Published: 24 February 2015
Series ISSN: 1618-7210
Series E-ISSN: 2197-5647
Edition Number: 1
Number of Pages: XVI, 351
Number of Illustrations: 69 b/w illustrations, 203 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Computational Science and Engineering, Vascular Surgery, Biological and Medical Physics, Biophysics, Neurosciences, Computer Appl. in Life Sciences