Mechanical stresses in carotid plaques using MRI-based fluid–structure interaction models

2008 ◽  
Vol 41 (8) ◽  
pp. 1651-1658 ◽  
Author(s):  
Samuel A. Kock ◽  
Jens V. Nygaard ◽  
Nikolaj Eldrup ◽  
Ernst-Torben Fründ ◽  
Anette Klærke ◽  
...  
Keyword(s):  
Fluid Structure Interaction ◽  
Mechanical Stresses ◽  
Fluid Structure ◽  
Interaction Models ◽  
Carotid Plaques ◽  
Structure Interaction

scholarly journals Experiment for validation of fluid-structure interaction models and algorithms

2017 ◽  
Vol 33 (9) ◽  
pp. e2848 ◽  
Author(s):  
A. Hessenthaler ◽  
N. R. Gaddum ◽  
O. Holub ◽  
R. Sinkus ◽  
O. Röhrle ◽  
...  
Keyword(s):  
Fluid Structure Interaction ◽  
Fluid Structure ◽  
Interaction Models ◽  
Structure Interaction

scholarly journals Fluid–Structure Interaction Analyses of Biological Systems Using Smoothed-Particle Hydrodynamics

Biology ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 185
Author(s):  
Milan Toma ◽  
Rosalyn Chan-Akeley ◽  
Jonathan Arias ◽  
Gregory D. Kurgansky ◽  
Wenbin Mao
Keyword(s):  
Smoothed Particle Hydrodynamics ◽  
Computational Models ◽  
Biological Systems ◽  
Fluid Structure Interaction ◽  
Disease Diagnosis ◽  
Fluid Structure ◽  
Interaction Models ◽  
Structure Interaction ◽  
Particle Hydrodynamics ◽  
Smoothed Particle

Due to the inherent complexity of biological applications that more often than not include fluids and structures interacting together, the development of computational fluid–structure interaction models is necessary to achieve a quantitative understanding of their structure and function in both health and disease. The functions of biological structures usually include their interactions with the surrounding fluids. Hence, we contend that the use of fluid–structure interaction models in computational studies of biological systems is practical, if not necessary. The ultimate goal is to develop computational models to predict human biological processes. These models are meant to guide us through the multitude of possible diseases affecting our organs and lead to more effective methods for disease diagnosis, risk stratification, and therapy. This review paper summarizes computational models that use smoothed-particle hydrodynamics to simulate the fluid–structure interactions in complex biological systems.

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