Optimization in Cardiovascular Modeling

作者: Alison L. Marsden

DOI: 10.1146/ANNUREV-FLUID-010313-141341

关键词:

摘要: Fluid mechanics plays a key role in the development, progression, and treatment of cardiovascular disease. Advances imaging methods patient-specific modeling now reveal increasingly detailed information about blood flow patterns health Building on these tools, there is an opportunity to couple simulation with optimization algorithms improve design surgeries devices, incorporating more physics process augment current medical knowledge. In doing so, major challenge need for efficient tools that are appropriate unsteady fluid problems, particularly complex models presence uncertainty. This article reviews state art virtual surgery, device design, model parameter identification mechanobiology applications. particular, it trade-offs between traditional ...

参考文章(114)
Charles Audet, Convergence Results for Pattern Search Algorithms are Tight Les Cahiers du GERAD. pp. 1- 21 ,(2002)
George Karniadakis, Spencer J. Sherwin, Spectral/hp Element Methods for Computational Fluid Dynamics ,(2005)
Virginia Torczon, Robert M Lewis, RANK ORDERING AND POSITIVE BASES IN PATTERN SEARCH ALGORITHMS Institute for Computer Applications in Science and Engineering (ICASE). ,(1996)
Roger G. Ghanem, Pol D. Spanos, Stochastic Finite Elements: A Spectral Approach ,(1990)
Nathan Wilson, Kenneth Wang, Robert W. Dutton, Charles Taylor, A Software Framework for Creating Patient Specific Geometric Models from Medical Imaging Data for Simulation Based Medical Planning of Vascular Surgery medical image computing and computer assisted intervention. pp. 449- 456 ,(2001) , 10.1007/3-540-45468-3_54
Hans Bruun Nielsen, Søren Nymand Lophaven, Jacob Søndergaard, DACE - A Matlab Kriging Toolbox ,(2002)
A Quarteroni, G Dubini, G Pennati, K Laganà, F Migliavacca, A Veneziani, R Pietrabissa, Multiscale modelling as a tool to prescribe realistic boundary conditions for the study of surgical procedures. Biorheology. ,vol. 39, pp. 359- 364 ,(2002)