The Scientific World Journal

Volume 2014 (2014), Article ID 421061, 1 page

http://dx.doi.org/10.1155/2014/421061

Editorial

Computational Simulations in the Cardiovascular System

Aike Qiao,¹ Hai-Chao Han,² Makoto Ohta,³ and Yi Qian⁴

¹College of Life Science and Bioengineering, Beijing University of Technology, Pingleyuan 100, Chaoyang District, Beijing 100124, China

²Department of Mechanical Engineering, The University of Texas at San Antonio, 1 UTSA Circle San Antonio, TX 78249, USA

³Intelligent Fluid Systems Division Institute of Fluid Science, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi 980-8577, Japan

⁴Australian School of Advanced Medicine, Macquarie University, 2 Technology Place, NSW 2109, Australia

Received 26 February 2014; Accepted 26 February 2014; Published 7 April 2014

Copyright © 2014 Aike Qiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cardiovascular diseases are the leading cause of mortality worldwide. Understanding the mechanism and developing techniques for diagnosis, treatment, and prevention remain as challenging issues. Biomechanics research plays an important role in all these aspects. Computer-based simulations of dynamic processes in the cardiovascular system are emerging as a powerful tool in delineating the biomechanical mechanisms and developing new treatment technologies for cardiovascular diseases. Although there have been extensive studies in these areas, many issues remain unsolved. The articles collected in this special issue presented new advances on the modeling and simulations of processes involving stenosis, clot, plaque, aneurysm, left ventricle syndrome, and so forth. These results reveal significant insights into the prediction, evaluation, and treatment of cardiovascular diseases. We hope that this special issue will also advance research in medical devices and surgical planning through computational simulations.

Aike Qiao

Hai-Chao Han

Makoto Ohta

Yi Qian