Modeling fibrin aggregation in blood flow with discrete-particles

Computer Methods and Programs in Biomedicine

Volumn 75, Issue 3, 2004, Pages 181-194

  Boryczko, Krzysztof ^a   Dzwinel, Witold ^a   Yuen, David A ^b  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Blood modeling; Capillary vessels; Discrete particles; Fibrin polymerization

Indexed keywords

AGGLOMERATION; BLOOD; CELLS; COMPUTER SIMULATION; PLASMAS;

CLOTTING; RED BLOOD CELLS;

BIOMEDICAL ENGINEERING;

FIBRIN; FIBRIN MONOMER;

ACCELERATION; ARTICLE; BLOOD CLOTTING; BLOOD FLOW; BLOOD RHEOLOGY; CAPILLARY FLOW; CAPILLARY WALL; ERYTHROCYTE; INSTRUMENTATION; MATHEMATICAL MODEL; PLASMA; POLYMERIZATION; PROBABILITY; PROTEIN AGGREGATION; RESPONSE TIME; SOLID;

BLOOD COAGULATION; BLOOD FLOW VELOCITY; CAPILLARIES; CELL ADHESION; CELL AGGREGATION; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FIBRIN; FIBRINOGEN; HUMANS;

EID: 3242753481     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2004.02.001     Document Type: Article

References (24)

1. S.A. Berger, Flow in large blood vessels, in: A.Y. Cheer, C.P. Van Dam (Eds.), Fluid Dynamics in Biology, Contemporary Math. Series, Amer. Math. Soc., Providence, 1992, pp. 479-518.
2. A. Quarteroni, Modeling the cardiovascular system: a mathematical challenge, in: B. Engquist, W. Schmid (Eds.), Mathematics Unlimited - 2001 and Beyond, Springer-Verlag, New York, Berlin, Heidelberg, 2001, pp. 961-972.
3. Quarteroni A., Veneziani A. Analysis of a geometrical multiscale model based on the coupling of PDE's and ODE's for blood flow simulations. SIAM Multiscale Model Simul. 1/2:2003;173-195
4. Maury B. Direct simulations of 2D fluid-particle flows in biperiodic domains. J. Comput. Phys. 156:1999;325-351
5. Liepsch C., Thurston G., Lee M. Studies of fluids simulating blood-like rheological properties and applications in models of arterial branches. Biorheology. 28:1991;39-52
6. Zhang J.-B., Kuang Z.-B. Study on blood constitutive parameters in different blood constitutive equations. J. Biomech. 33:2000;355-360
7. L. Bitsch, Blood Flow in Microchannels, Master Thesis, Mikroelektronik Centret, MIC Dansk Polymercenter/Institut for Kemiteknik Technical University of Denmark, 2002, 93 pp.
8. D.L. Hitt, M.L. Lowe, Confocal imaging and numerical simulations of converging flows in artificial microvessels, in: P. Gourley (Ed.), Proceedings of Micro- and Nanofabricated Electro-Optical Mechanical Systems for Biomedical and Environmental Applications, vol. 2978, Society of Photo-Optical Instrumentation Engineers (SPIE), Bellingham, Washington, 1997, pp. 145-154.
9. Boryczko K., Dzwinel W., Yuen D.A. Dynamical clustering of red blood cells in capillary vessels. J. Mol. Model. 9:2003;16-33
10. Dzwinel W., Boryczko K., Yuen D.A. A discrete-particle model of blood dynamics in capillary vessels. J. Colloid Int. Sci. 258(1):2003;163-173
11. K. Boryczko, W. Dzwinel, D.A. Yuen, Modeling mesoscopic heterogeneous fluids in irregular geometries on shared memory systems, J. Concurrency Comput.: Pract. Experience (submitted for publication).
12. Español P. Fluid particle model. Phys. Rev. E. 57(3):1998;2930-2948
13. Flekkøy E.G., Coveney P.V. Foundations of dissipative particle dynamics. Phys. Rev. Lett. 83:1999;1775-1778
14. Serrano M., Español P. Thermodynamically consistent mesoscopic fluid particle model. Phys. Rev. E. 64(4):2001;4615.1-4615.18
15. Y.C. Fung, Biomechanics, Springer-Verlag, New York, Berlin, Heidelberg, 1992, p. 515.
16. Diamond S.L. Engineering design of optimal strategies for blood clot dissolution. Annu. Rev. Biomed. Eng. 1:1999;427-461
17. Bark N., Foldes-Papp Z., Rigler R. The incipient stage in thrombin-induced fibrin polymerization detected by FCS at the single molecule level. Biochem. Biophys. Res. Commun. 260:1999;35-41
18. J. Jesty, Y. Nemerson, The pathways of blood coagulation, in: E. Beutler, M.A. Lichtman, B.S. Coller, T.J. Kipps, Williams Hematology, 5th ed., McGraw-Hill, New York, 1995, pp. 1227-1238.
19. Boryczko K., Dzwinel W., Yuen D.A. Clustering revealed in high-resolution simulations and visualization of multi-resolution features in fluid-particle models. J. Concurrency Comput.: Pract. Experience. 15:2003;101-116
20. Boryczko K., Dzwinel W., Yuen D.A. Parallel implementation of the fluid particle model for simulating complex fluids in the mesoscale. J. Concurrency Comput.: Pract. Experience. 14:2002;1-25
21. Groot R.D., Warren P.B. Dissipative particle dynamics: bridging the gap between atomistic and mesoscopic simulation. J. Chem. Phys. 107:1997;4423-4435
22. Dzwinel W., Yuen D.A., Boryczko K. Mesoscopic dynamics of colloids simulated with dissipative particle dynamics and fluid particle model. J. Mol. Model. 8:2002;33-45
23. Vattulinen I., Kartunen M., Bsold B., Polson J.M. Integration schemes for dissipative particle dynamics simulations: from softly interacting systems towards hybrid models. J. Chem. Phys. 116:2002;3967-3979
24. R.W. Hockney, J.W. Eastwood, Computer Simulation Using Particles, McGraw-Hill, New York, 1981 (Chapter 8).