Vai al contenuto| Home page|

   Ti trovi in: HOME »Programmi, progetti e risultati »I progetti »PRIN - Programmi di ricerca di Rilevante Interesse Nazionale»Programma di ricerca
INIZIO_TESTO_DA_INDICIZZARE

RESEARCH PROGRAM

italiano - inglese
Research Units
Similar research programs:
Scientific and education field classification
International Patent Classification
Geographical classification
Bibliografia
Adrian, R J (1997) Dynamic ranges of velocity and spatial resolution of particle image velocimetry, Measurement Science and Technology, Vol. 8 (12), pp. 1393-1398
Baccani, B., Domenichini, F. & Pedrizzetti, G. 2002a Vortex dynamics in a model left ventricle during filling. Eur. J. Mech. B/Fluids 21(5), 527-543.
Baccani, B., Domenichini, F., Pedrizzetti, G. & Tonti, G. 2002b Fluid dynamics of the left ventricular filling in dilated cardiomyopathy. J. Biomech. 35(5), 665-671.
Baccani, B., Domenichini, F. & Pedrizzetti, G. 2003 Model and influence of mitral valve opening during the left ventricular filling. J. Biomech. 36(3), 355-361.
Bellhouse, B. J. 1972 Fluid mechanics of a model mitral valve and left ventricle. Cardiovas. Res. 6, 199-210.
Bolzon, G., Zovatto, L. & Pedrizzetti, G. 2003 Birth of three-dimensionality in a pulsed jet through a circular orifice. J. Fluid Mech. 493, 209-218.
BLUESTEIN D.E., RAMBOD E., GHARIB M., (2000). Vortex Shedding as a Mechanism for Free Emboli Formation in Mechanical Heart Valves, Journal of Biomechanical Engineering, Vol. 122, pp. 125-134.
De Hart J., Baaijens F.P.T., Peters G.W.M., Schreurs P.J.G. 2003 A computational fluid-structure interaction analysis of a fiber-reinforced stentless aortic valve. J. Biomech. 36, 699-712.
DI FLORIO D., DI FELICE F., ROMANO G.P. (2002). Windowing, re-shaping and re-orientation interrogation windows in particle image velocimetry for the investigation of flows with large velocity gradients. Measurement Science and Technology, Vol. 13 (7), pp. 953 – 962.
Domenichini F., Pedrizzetti, G., Baccani, B. 2005 Three-dimensional filling flow into a model left ventricle, J. Fluid Mech., 539, 179-198.
Dracos Th. (1996), "Particle Tracking Velocimetry" in Three-Dimensional Velocity and Vorticity Measuring and Image Analysis Techniques edited by Th. Dracos, Kluwer Academic
Firstenberg, M. S., Vandervoort, P. M., Greenberg, N. L., Smedira, N. G., Mccarthy, P. M., Garcia, M. J. & Thomas, J. D. 2000 Noninvasive estimation of transmitral pressure drop across the normal mitral valve in humans: importance of convective and inertial forces during left ventricular filling. J. Am. Coll. Cardiol. 36(6)}, 1942-1949.
Foucaut, J M, Carlier, J and Stanislas, M (2004) PIV optimization for the study of turbulent flow using spectral analysis, Measurement Science and Technology, Vol. 15 (6), pp. 1046-1058.
Garcia, M. J., Thomas, J. D. & Klein, A. L. 1998 New Doppler echocardiographic applications for the study of diastolic function. J. Am. Coll. Cardiol. 32, 865-875.
Garcia, M. J., Smedira, N. G., Greenberg, N. L., Main, M., Firstenberg, M. S., Odabashian, J. & Thomas, J. D. 1999 Color M-Mode Doppler Flow Propagation Velocity is a Preload Insensitive Index of Left Ventricular Relaxation: Animal and Human Validation. J. Am. Coll. Cardiol. 35, 201-208.
Gui, L; Wereley, S T; Kim, Y H (2003) Advances and applications of the digital mask technique in particle image velocimetry experiments, Measurement Science and Technology Vol. 14 (10), pp. 1820-1828
Kajitani, L and Dabiri, D (2005) A full three-dimensional characterization of defocusing digital particle image velocimetry, Measurement Science and Technology, Vol. 16 (3), pp. 790-804
Kilner, P. J. et al. 2000 Asymmetric redirection of flow through the heart. Nature 404, 759 –761.
Kim, W. Y., Walker, P. G. , Pederson, E. M., Poulsen, J. K., Oyre, S., Houlind, K. & Yoganathan, A. P. 1995 Left ventricular blood flow patterns in normal subjects: a quantitative analysis by three-dimensional magnetic resonance velocity mapping. J. Am. Coll. Cardiol. 26, 224-238.
Kim H. B., Hertzberg J. R., Shandas R. 2004 Development and validation of echo PIV. Experiments in Fluids 36, 455–462.
KRAFZYK M., CERROLAZA M., SCHULZ M., RANK E., (1998). Analysis of 3D blood flow passing though an artificial aortic valve by Lattice – Boltzmann method. Journal of Biomechanics, Vol. 31, pp. 453 – 462.
Lemmon, J. D. & Yoganathan, A. P. 2000 Three-dimensional computational model of left heart diastolic function with fluid-structure interaction. J. Biomech. Eng. 122, 109-117.
LIM W.L., CHEW Y.T., CHEW T.C., LOW H.T., (2001). Pulsatile flow studies of a porcine bioprosthetic aortic valve in vitro: PIV measurements and shear-induced blood damage. Journal of Biomechanics Vol. 34 (11), pp. 1417-1427.
Mandinov, L., Eberli, F. R., Seiler, C. & Hess, O. M. 2000 Review: Diastolic heart failure. Cardiovas. Res. 45, 813-825.
MANNING K. B., KINI V., FONTAINE A. A., DEUTSCH S., TARBELL J. M., (2003). Regurgitant Flow Field Characteristics of the St. Jude Bileaflet Mechanical Heart Valve under Physiologic Pulsatile Flow Using Particle Image Velocimetry. Artificial Organs Vol. 27 (9), pp. 840-846.
McQueen, D. M. & Peskin, C. S. 2000 A three-dimensional computer model of the human heart for studying cardiac fluid dynamics. Computer Graphics 34, 56–60.
Ohmi, Kazuo and Li, Hang-Yu (2000) Particle-tracking velocimetry with new algorithms, Measurement Science and Technology, Vol. 11 (6), pp. 603-616
Pedrizzetti, G., 2005 Kinematic characterization of valvular opening. Physical Review Letters 94, 194502.
Pedrizzetti G., Domenichini F., 2005 Nature optimizes the swirling flow in the human left ventricle, Physical Review Letters 95, 108101.
Peskin, C. S. & Mcqueen, D. M. 1989a A three-dimensional computational method for blood flow in the heart: I Immersed elastic fibers in an incompressible fluid. J. Comput. Phys. 81, 372–405.
Peskin, C. S. & Mcqueen, D. M. 1989b A three-dimensional computational method for blood flow in the heart: II Contractile fibers. J. Comput. Phys. 82, 289–298.
Reul, H., Talukder, N. & Muller, W. 1981 Fluid mechanics of the natural mitral valve. J. Biomech. 14(5), 361-372.
Saber, N. R., Gosman, A. D., Wood, N. B., Kilner, P. J., Charrier, C. L. & Firmin, D. N. 2001 Computational Flow Modeling of the Left Ventricle Based on In Vivo MRI Data: Initial Experience. Ann. Biomed. Eng. 29, 275-283.
Steen, T. & Steen, S. 1994 Filling of a model left ventricle studied by colour M mode Doppler. Cardiovas. Res. 28, 1821-1827.
Stevens, C., Remme, E., Legrice, I. & Hunter, P. 2003 Ventricular mechanics in diastole: material parameter sensitivity. J. Biomech. 36, 737-748.
Stijnen, J. M. A., De Hart, J., Bovendeerd, P. H. M. & Van De Vosse, F. N. 2004 Evaluation of a fictitious domain method for predicting dynamic response of mechanical heart valves. J. Fluids Struct. 19, 835-850.
Szabo, G., Soans, D., Graf, A., Beller, C., Waite, L. & Hagl, S. 2004 A new computer model of mitral valve hemodynamics during ventricular filling. Eur. J. Cardiothoracic Surgery 26, 239–247.
Taylor, T. W. & Yamaguchi, T. 1995 Realistic three-dimensional left ventricular ejection determined from computational fluid dynamics. Med. Eng. Phys. 17(8), 602–608.
Tonti, G., Pedrizzetti, G., Trambaiolo, P. & Salustri, A. 2001. Space and time dependency of inertial and convective contribution to the transmitral pressure drop during ventricular filling. J. Am. Coll. Cardiol. 38(1), 290-291.
Vasan, R. S. & Levy, D. 2000 Defining diastolic heart failure. Circulation 101, 2118-2121.
Vierendeels, J. A., Riemslagh, K., Dick, E. & Verdonck, P. R. 2000 Computer simulation of intraventricular flow and pressure during diastole. J. Biomech. Eng. 122, 667-674.
Vlachos, P. P., Pierrakkos, O., Phillips, A. & Telionis, D. P. 2001 Vorticity and turbulence characteristics inside a transparent flexible left ventricle. BED-Vol. 50, pp. 493-494. ASME.
Wieting, D. W. & Stripling, T. E. 1984 Dynamics and fluid dynamics of the mitral valve. In Recent Progress in Mitral Valve Disease (ed. C. Duran, W. W. Angell, A. D. Johnson & J. H. Oury). pp. 13-46. Butterworths Publishers.
ZIMMER R., STEEGERS A., PAUL R., AFFELD K., REUL H., (2000). Velocities, shear stresses and blood damage potential of the leakage jets of the Medtronic Parallel bileaflets valve. The International Journal of Artificial Organs, Vol. 23, pp. 41– 48.
Keywords
CARDIOVASCULAR FLUID DYNAMICS, CARDIAC VALVES, VORTICES, FLUID-TISSUE INTERACTION

Cardiac fluid dynamics: interaction between flow and tissues, numerical modelling, and applications.

Università degli Studi di Trieste
Abstract
In the last years, a growing interest in the mathematical and physical modeling of the physiological processes has been shown by several different fields of research, giving rise to a closer interaction between researchers coming from the scientific and technical disciplines with scientists from biomedical fields. One of the most intriguing issue is represented by the cardiovascular fluid mechanics, either for its intrinsic scientific interest and for its applied relevance; in fact, it is well known that the dysfunctions of the circulatory system represent the major cause of death in the modern society.
The effort made by several researchers has allowed relevant advances in the knowledge about the blood flow inside of the heart chambers; this notwithstanding, several aspects are still far from being properly understood and usable into a clinical perspective. This depends on the complexity of the problem itself, where we have a corpuscular fluid that flows inside cavities with complex geometry, interacting with the walls made by a living tissue, whose mechanical properties are little known. A further aspect must be considered: the data commonly measured in the clinical practice have grown enormously because of the development of the diagnostic devices (Echography, MRI, CT - in three-dimensions and real-time), leading to the requirement of interpretative schemes able to give a deeper quantitative understanding of the physical phenomena and allow synthetic description of >>>

Principal Investigator
Gianni Pedrizzetti Università degli Studi di TRIESTE
Research Objectives
The primary objective of this project is the development of mathematical models, their experimental verification and numerical implementation, to understand the flow-driven dynamics of cardiac valves, and the influence of the valves on the fluid dynamics that develops inside the cardiac chambers. The objective will be pursued analyzing a simple model problem of the fluid-tissue interaction to extract general behaviours of the valvular motion, avoiding the necessity to define the material parameters of the tissue. At the same time a physical model will be finalized, with the relative measurement techniques, able to reproduce the unsteady flow in a duct with a properly designed valvular insertion. The numerical and physical modeling will allow an evaluation of the flow-driven dynamics of the valvular leaflets, and to ultimate the mathematical model of the same phenomenon.
In parallel a 3D model of the mitral valve will be developed and the will be included into a 3D numerical model able to simulate the fluid dynamics inside of a model left ventricle, and to study the influence of the valve in the intraventricular flow. This, with the support of the physical modeling, will permit the study of the role of the valvular motion on the intraventricular flow and vorticity.
Results are eventually compared with data recorded in vivo. The final goal is the construction of interpretative schemes, possibly based on the definition of fluid dynamical indicators, in order to >>>

Timescale
24 months
National and international background
Methods and techniques that are typical in fluid mechanics research have recently received attention by biomedical disciplines, leading to the birth and development of interdisciplinary groups with researchers in the fields of medicine and engineering. The initial support given by the engineers to explain some basic phenomena has transformed to a more close interaction in developing increasingly complex models, to enlarge diagnostic and therapeutic capabilities.
A limitation of the actual clinical utility of fluid mechanics modelling is represented by the complexity of the biological systems and of related physical phenomena. Medical prostheses are still subjected to careful studies as they can show malfunctions during their normal exercise when they operate into a self-adapting biological system.
Actually, the improvement of the diagnostic techniques (Echography, MRI, TAC) has shown that the increasing amount of available data does not necessary lead to the improvement of the ability to comprehend the involved physical phenomena, until this data is not accompanied by development of interpretative models to define physically based diagnostic indicators that may prove useful for the easier recognition of pathologies.
The ideal goal is the possibility of an early detection of potential dysfunctions, well before their symptomatic appearance, and the improvement of the therapeutic techniques to minimise the post-operating complications. It appears therefore >>>