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ABSTRACT

Image-Based Computational Modeling for Cardiovascular Diseases with Potential Clinical Applications

Dalin Tang1, Chun Yang2, Pedro N. del Nido3, Tal Geva3, Chun Yuan4, Tom Hatsukami5, Fei Liu4, Jie Zheng6, Pamela K. Woodard6

Worcester Polytechnic Institute, Worcester, MA 01609 USA.
Beijing Normal University, Beijing, China.
Harvard Med. School, Dept of Cardiac Surgery, Children’s Hospital, Boston, MA USA.
Department of Radiology, University of Washington, Seattle, WA 98195, USA.
Div. of Vascular Surgery, Univ. of Washington, Seattle, WA. 98195, USA.
Mallinkcrodt Institute of Radiology, Washington University, St. Louis, MO USA

The International Conference on Computational & Experimental Engineering and Sciences 2007, 1(1), 1-6. https://doi.org/10.3970/icces.2007.001.001

Abstract

Image-based computational models for blood flow in the heart and diseased arteries have been developed for disease assessment and potential clinical applications. Models with fluid-structure interactions for human right ventricle (RV) remodeling surgery design, carotid and coronary atherosclerotic plaques and abdominal aortic aneurysm (AAA) were presented. Organ morphology, material properties, governing equations, proper initial and boundary conditions, controlling factors and research focuses for each model were discussed.

Cite This Article

Tang, D., Yang, C., N., P., Geva, T., Yuan, C. et al. (2007). Image-Based Computational Modeling for Cardiovascular Diseases with Potential Clinical Applications. The International Conference on Computational & Experimental Engineering and Sciences, 1(1), 1–6. https://doi.org/10.3970/icces.2007.001.001



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