ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Multiobjective optimization of a stent in a fluid-structure context
Full text PdfPdf (1.26 MB)
Source
Genetic And Evolutionary Computation Conference archive
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation table of contents
Atlanta, GA, USA
WORKSHOP SESSION: MedGEC--medical applications of genetic and evolutionary computation table of contents
Pages: 2055-2060  
Year of Publication: 2008
ISBN:978-1-60558-131-6
Authors
Adel Blouza  Laboratoire Raphael Salem, Rouen, France
Laurent Dumas  Université Pierre et Marie, Curie, France
Ibrahima M'Baye  Université de Haute-Alsace, Mulhouse, France
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 57,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1388969.1389021
What is a DOI?

ABSTRACT

A stent device is a permanent metallic implant currently used to prop open arteries blocked with atherosclerotic plaques. Many classes of stents are available and mainly differ by their design. Our purpose in this paper is to determine some optimal stent parameters to ensure a conforming blood flow through the stented artery. Coupling computational fluid dynamics with stochastic optimization based method is used to obtain the optimal parameters of a simplified stent. Our results point out that the obtained related stents overcome or at least reduce the risk of the late restenosis in stented segments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. L. Berry, A. Santamarina, J. E. Moore Jr., S. Roychowdhury, and W. D. Routh, Experimental and Computational Flow Evaluation of Coronary Stents, Annals of Biomedical Engineering, Vol 28, pp. 386--398, 2000.
 
2
A. I. Barakat, and E. T. Cheng, Numerical Simulation of Fluid Mechanical Distrurbance Induced by Intravascular Stents, Proceedings of ICMMB-11: International Conference on Mechanics in Medecine and Biology, 2000.
 
3
S. Sukavaneshvar, G. M. Rosa and K. A. Solen, Enhancement of Stent-Induced Thromboembolism by Residual Stenoses: Contribution of Hemodynamics. Annals of Biomedical Enginneering, Vol. 28. pp. 182--193, 2000.
 
4
A. O. Frank, P. W. Walsh and J. E. Moore Jr, Computational Fluid Dynamics and Stent Design. Artificial Organs, 26(7): 614--621, Blackwell Publishing, Inc., 2002.
 
5
J. E. Moore Jr, and J. L. Berry, Fluid and Solid Mechanical Implications of Vascular Stenting, Annals of Biomedical Engineering, Vol 30, pp. 498--508, 2002.
 
6
F. Hecht, O. Pironneau. A finite element Software for PDE: FreeFem++ (www.freefem.org).
 
7
P. Frey. Medit, a Mesh visualization Software (www.ann.jussieu.fr/frey/logiciels/medit.html)
 
8
A. Quarteroni and G.Rozza, Optimal Control and Shape Optimization in Aorto-Coronaric Bypass Anastomoses, Mathematical Models and Methods in Applied Sciences, Vol.13, 2003.
 
9
K. Deb, M. Mohan and S. Mishra, A Fast Multiobjective Evolutionary Algorithm for Finding Well-Spread Pareto-Optimal Solutions. KanGAL Report Number 2003002, 2003.
 
10
T. A. Guimaraes , M. A.V. Duarte and S. A. G. Oliveira, Topology Optimization of the Stent Cells Plane Model With Maximum Hardening and Flexibility, Inverse Problems, Design Theory and Optimization Symposia. Rio de Janeiro, ABCM, p. 1--8, 2004.
 
11
L. Dumas, V. Herbert and F. Muyl, Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry, Lecture Notes in Computer Science 3483, p. 948--957, 2005
 
12
C. Murea, The BFGS Algorithm for Nonlinear Least Squares Problem arising from Blood Flow in Arteries. Comput. Math. Appl., Vol. 49, p. 171--186, 2005.
 
13
M. C. Delfour, A. Garon and V. Longo, Modeling and Design of Coated Stents to Optimize the Effect of the Dose, Siam Journal on Applied Mathematics, 65(3), p. 858--881, 2005.
 
14
N. Benard, Analyse de l'écoulement physiologique dans un stent coronarien: application à la caractérisation des zones de resténose pariétale, PhD thesis, Université de Poitiers, 2005.
 
15
J.F. LaDisa, Jr., L.E. Olson, D.A. Hettrick, D.C. Warltier, J.R. Kersten and P.S. Pagel, Axial stent strut angle influences wall shear stress after stent implantation: analysis using 3D computational fluid dynamics models of stent foreshortening. Biomedical Engineering Online, 4:59, 2005
 
16
 
17
I. MBaye, Etude mathématique et numérique de quelques problèmes de couplage fluide-structure , PhD thesis, Université de Mulhouse, 2006.
18

Collaborative Colleagues:
Adel Blouza: colleagues
Laurent Dumas: colleagues
Ibrahima M'Baye: colleagues