Volume 4 Number 3 (May 2014)
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IJBBB 2014 Vol.4(3): 155-159 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2014.V4.330

Computational Fluid Dynamic Analysis of Coronary Artery Stenting

Feng Gao, Gang Li, Rui Hu, and Hiroshi Okada
Abstract—Coronary artery disease is the most prevalent form of cardiovascular disease and is the largest subset of this mortality. Stent implantation becomes a common interventional procedure for treatment of coronary artery disease. In this study, fluid dynamics factors in patient specific three dimensional coronary artery models before and after stenting were studied. The three dimensional models of the coronary artery were constructed from CT image of the patient. Commercial software Adina was used for computational fluid dynamics simulation. The wall shear stress and blood velocity were greater at the region of stenosis before stenting. The fluid dynamics values have come back near to normal values in the coronary artery model fitted with stent. The technique can be employed to estimate the relevant quantities and to optimize the design of intravascular stents.

Index Terms—Computational fluid dynamics, coronary artery, wall shear stress, stenting.

Feng Gao and Hiroshi Okada are with the Department of Mechanical Engineering, Faculty of Engineering and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba, 278-8510, Japan (e-mail: gao@rs.noda.tus.ac.jp, hokada@rs.noda.tus.ac.jp).
Gang Li is with the Cardiac Centre of Hebei General Hospital, Shijiazhuang, Hebei 050051, China (e-mail: hrlg2002@hotmail.com).
Rui Hu is with Clinical Laboratory, The Second Hospital of Hebei Medical University, 100-5 Heping West Road, Xinhua District, Shijiazhuang, Hebei 050000, China (e-mail: dazuichazi2013@hotmail.com).

 

Cite: Feng Gao, Gang Li, Rui Hu, and Hiroshi Okada, "Computational Fluid Dynamic Analysis of Coronary Artery Stenting," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 3, pp. 155-159, 2014.

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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