The living biological tissue adapts to the changes in its biomechanical environment by growth and remodeling. For instance, the arterial thickening and stiffening are observed in hypertensive rats [1], and the neo-tissue grows toward the lumen of stented artery as a result of stent implantation [2]. To better understand the tissue response to the induced mechanical stimuli, many experiments using animal models were conducted. As important complement to experiment, the computational models were also developed to capture and predict the tissue response once they were validated by experimental results. The most popular models for artery growth and remodeling are mathematical models [3–5]. The arteries are usually modeled as hollow cylinders subjected to uniform pressure, and the evolution of geometrical parameters on one cross section, such as wall thickness, deformed inner radius, or opening angle, were usually obtained to describe the arterial growth and adaptation....
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June 2014
Technical Briefs
Computational Framework for Modeling In-Stent Restenosis1
Shijia Zhao,
University of Nebraska-Lincoln,
Shijia Zhao
Department of Mechanical and Materials Engineering
,University of Nebraska-Lincoln,
Lincoln, NE 68508
Search for other works by this author on:
Linxia Gu
University of Nebraska-Lincoln,
Linxia Gu
Department of Mechanical and Materials Engineering
,University of Nebraska-Lincoln,
Lincoln, NE 68508
Search for other works by this author on:
Shijia Zhao
Department of Mechanical and Materials Engineering
,University of Nebraska-Lincoln,
Lincoln, NE 68508
Linxia Gu
Department of Mechanical and Materials Engineering
,University of Nebraska-Lincoln,
Lincoln, NE 68508
Manuscript received February 21, 2014; final manuscript received March 3, 2014; published online April 28, 2014. Editor: Arthur G. Erdman.
J. Med. Devices. Jun 2014, 8(2): 020947 (2 pages)
Published Online: April 28, 2014
Article history
Received:
February 21, 2014
Revision Received:
March 3, 2014
Citation
Zhao, S., and Gu, L. (April 28, 2014). "Computational Framework for Modeling In-Stent Restenosis." ASME. J. Med. Devices. June 2014; 8(2): 020947. https://doi.org/10.1115/1.4027062
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