Limits...
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.

Show MeSH

Related in: MedlinePlus

Test models with three different typical cross-section shapes of plaque. (1) Test 1: arc-shaped. (2) Test 2: bar-shaped. (3) Test 3: streamline-shaped.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3814053&req=5

fig5: Test models with three different typical cross-section shapes of plaque. (1) Test 1: arc-shaped. (2) Test 2: bar-shaped. (3) Test 3: streamline-shaped.

Mentions: Three typical plaques (shown in Figure 5) are built for the testing of optimal stents obtained based on SMPV and LPV models. The dilations of original stent and optimal stents based on SMPV and LPV models in three typical stenosed arteries are respectively simulated to get the dogboning rates of them. Table 2 shows the results of the test, in which, the dogboning rates of stent dilation in narrowed arteries of the three typical plaques are significantly reduced, especially for the optimal stent based on LPV model.


Design optimization of coronary stent based on finite element models.

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

Test models with three different typical cross-section shapes of plaque. (1) Test 1: arc-shaped. (2) Test 2: bar-shaped. (3) Test 3: streamline-shaped.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig5: Test models with three different typical cross-section shapes of plaque. (1) Test 1: arc-shaped. (2) Test 2: bar-shaped. (3) Test 3: streamline-shaped.
Mentions: Three typical plaques (shown in Figure 5) are built for the testing of optimal stents obtained based on SMPV and LPV models. The dilations of original stent and optimal stents based on SMPV and LPV models in three typical stenosed arteries are respectively simulated to get the dogboning rates of them. Table 2 shows the results of the test, in which, the dogboning rates of stent dilation in narrowed arteries of the three typical plaques are significantly reduced, especially for the optimal stent based on LPV model.

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