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Modelling and Simulation in Biomedical Research

Modelling and Simulation in Biomedical Research

Dolores A. Steinman, David A. Steinman
Copyright: © 2011 |Pages: 13
ISBN13: 9781609601959|ISBN10: 1609601955|EISBN13: 9781609601966
DOI: 10.4018/978-1-60960-195-9.ch313
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MLA

Steinman, Dolores A., and David A. Steinman. "Modelling and Simulation in Biomedical Research." Gaming and Simulations: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2011, pp. 794-806. https://doi.org/10.4018/978-1-60960-195-9.ch313

APA

Steinman, D. A. & Steinman, D. A. (2011). Modelling and Simulation in Biomedical Research. In I. Management Association (Ed.), Gaming and Simulations: Concepts, Methodologies, Tools and Applications (pp. 794-806). IGI Global. https://doi.org/10.4018/978-1-60960-195-9.ch313

Chicago

Steinman, Dolores A., and David A. Steinman. "Modelling and Simulation in Biomedical Research." In Gaming and Simulations: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 794-806. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-195-9.ch313

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Abstract

In the following chapter, the authors will discuss the development of medical imaging and, through specific case studies, its application in elucidating the role of fluid mechanical forces in cardiovascular disease development and therapy (namely the connection between flow patterns and circulatory system disease - atherosclerosis and aneurysms) by means of computational fluid dynamics (CFD). The research carried in the Biomedical Simulation Laboratory can be described as a multi-step process through which, from the reality of the human body through the generation of a mathematical model that is then translated into a visual representation, a refined visual representation easily understandable and used in the clinic is generated. Thus, the authors’ daily research generates virtual representations of blood flow that can serve two purposes: a) that of a model for a phenomenon or disease or b) that of a model for an experiment (non-invasive way of determining the best treatment option).

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