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| Computational Methods for the Cardiovascular System
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CANCELED
Sunday, February 07, 2010
8:00am - 1:40pm
Lecturers: Jay D. Humphrey, Charles Taylor
Course Description and Outline
Application of computational mechanics to the study of blood flow, vessel dynamics, and growth and remodeling in cardiovascular health and disease.
Cardiovascular disease continues to be the leading cause of death and disability in the USA and other industrialized nations. Diverse data collected over the past three decades reveals central roles of biomechanics and mechanobiology from molecular to organismal scales in both the progression and the treatment of most cardiovascular diseases, thus pointing to the need for advanced biomechanical analyses. Because of the complex geometries, material properties, fluid-solid couplings, and adaptive response of the circulatory system to physiologic loads, such analyses necessarily must utilize advanced computational methods based on fundamental principles of cardiovascular systems. This short course will review background information (and key references) on cardiovascular anatomy and physiology, common congenital and acquired cardiovascular diseases, the basic biological responses of cells and tissues to altered mechanical loading, appropriate constitutive relations and boundary conditions, and novel computational methods. In particular, a new computational approach will be described for synthesizing information from vascular cell biology, biosolid and biofluid mechanics, and mass transport for purposes of understanding better vascular physiology and pathophysiology, surgical planning, and the design of devices that must function in continually adapting tissues. Hence, the workshop should be of equal interest to those in basic research and industrial R&D.
Unit 1. Overview of Cardiovascular Anatomy, Physiology & Pathophysiology
Unit 2. Cellular and Tissue Responses to Mechanical Loads
Unit 3. Relevant Constitutive Relations and Boundary Conditions
Unit 4. Patient-Specific Modeling
Unit 5. Approaches to Modeling Biological Growth and Remodeling
Unit 6. Illustrative Examples and Open Problems
Lecturers
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Jay D. Humphrey
Professor,
Department of Biomedical Engineering
Jay D. Humphrey received the B.S. degree from Virginia Tech and the M.S. and Ph.D. degrees from The Georgia Institute of Technology, all in Engineering Science and Mechanics, and he completed a post-doctoral fellowship in Cardiovascular Research at The Johns Hopkins University. Professor Humphrey has authored a graduate textbook (Cardiovascular Solid Mechanics: Cells, Tissues, and Organs), co-authored an undergraduate textbook with a former student (An Introduction to Biomechanics: Solids and Fluids, Analysis and Design), co-authored a general textbook (Style and Ethics of Communication in Science and Engineering), co-edited a research book (Cardiovascular Soft Tissue Biomechanics), contributed chapters to 18 other books, and published over 150 journal articles. He was elected to the US National Committee on Biomechanics and the World Council of Biomechanics, and he serves as co-Editor of the international journal Biomechanics and Modeling in Mechanobiology. He is also a Fellow of the American Institute for Medical and Biological Engineering and a Fellow of the American Society of Mechanical Engineering.
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Charles Taylor, PhD
Founder and Chief Scientist
Cardiovascular Simulation, Inc
Charles Taylor is the Founder and Chief Scientist for Cardiovascular Simulation, Inc. He is an associate Professor in the Departments of Bioengineering and Surgery at Stanford University. Dr. Taylor has published more than 60 peer-reviewed journal papers, 6 book chapters, and more
than 150 peer-reviewed conference papers. He has received numerous awards, including R.H. Gallagher Young Investigator in Computational Mechanics Award from the U.S. Association for Computational Mechanics (2003) and the Young Investigator in Computational Mechanics Award, International Association for Computational Mechanics (2002). Dr. Taylor received his Ph.D in Mechanical Engineering at Stanford University and an M.S., in Mathematics and Mechanical Engineering, both from Rensselaer Polytechnic Institute.
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