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Design optimization of coronary stent based on finite element models.

Li H, Qiu T, Zhu B, Wu J, Wang X - ScientificWorldJournal (2013)

Bottom Line: An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration.Thrombosis models of three typical shapes are built to test the effectiveness of optimization results.Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China.

ABSTRACT
This paper presents an effective optimization method using the Kriging surrogate model combing with modified rectangular grid sampling to reduce the stent dogboning effect in the expansion process. An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration. Four commonly used finite element models of stent dilation were used to investigate stent dogboning rate. Thrombosis models of three typical shapes are built to test the effectiveness of optimization results. Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.

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Related in: MedlinePlus

Stent model and geometric variables (mm). WLS, WTS and WDS are the width of the struts.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: Stent model and geometric variables (mm). WLS, WTS and WDS are the width of the struts.

Mentions: ANSYS finite element package was used to perform the numerical simulations. A typical diamond-shaped coronary stent (shown in Figure 1) was investigated in this study. A balloon with an 11.4 mm length and a 0.12 mm thickness was placed inside the stent. Its outside diameter was equal to the inside diameter of the stent. The stent was not in contact with the plaque at the beginning of the dilatation process. The outside surface of the plaque was adhered to the inner surface of the artery.


Design optimization of coronary stent based on finite element models.

Li H, Qiu T, Zhu B, Wu J, Wang X - ScientificWorldJournal (2013)

Stent model and geometric variables (mm). WLS, WTS and WDS are the width of the struts.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3814053&req=5

fig1: Stent model and geometric variables (mm). WLS, WTS and WDS are the width of the struts.
Mentions: ANSYS finite element package was used to perform the numerical simulations. A typical diamond-shaped coronary stent (shown in Figure 1) was investigated in this study. A balloon with an 11.4 mm length and a 0.12 mm thickness was placed inside the stent. Its outside diameter was equal to the inside diameter of the stent. The stent was not in contact with the plaque at the beginning of the dilatation process. The outside surface of the plaque was adhered to the inner surface of the artery.

Bottom Line: An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration.Thrombosis models of three typical shapes are built to test the effectiveness of optimization results.Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China.

ABSTRACT
This paper presents an effective optimization method using the Kriging surrogate model combing with modified rectangular grid sampling to reduce the stent dogboning effect in the expansion process. An infilling sampling criterion named expected improvement (EI) is used to balance local and global searches in the optimization iteration. Four commonly used finite element models of stent dilation were used to investigate stent dogboning rate. Thrombosis models of three typical shapes are built to test the effectiveness of optimization results. Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.

Show MeSH
Related in: MedlinePlus