Computational Biofluid Dynamics

Fluid dynamics of blood is studied at Polito^BIOMed Lab in all major vessels, heart, vascular grafts, and blood recirculating devices through simulations based on computational approaches. The ability of computational modelling to advance personalized predictive medicine is exploited at Polito^BIOMed Lab to (1) increase the understanding of the origin and progression of cardiovascular diseases (e.g., atherosclerosis); (2) virtually explore post-operative scenarios and predict personalized outcomes, aiding therapeutic planning and procedural decision-making through optimal device selection and assessment of the effects on physiologic functions; (3) aid the design and optimization of new devices and interventions in prospect of their regulatory evaluation.

Relevant publications:

Mazzi V., Gallo D., Calò K., Najafi M., Khan M.O., De Nisco G., Steinman D.A., Morbiducci U. A Eulerian method to analyze wall shear stress fixed points and manifolds in cardiovascular flows. Biomech Model Mechanibiol, in press.

Calò K., Gallo D., Steinman D.A., Mazzi V., Scarsoglio S., Ridolfi L., Morbiducci U. Spatiotemporal hemodynamic complexity in carotid arteries: an integrated hemodynamics & complex networks-based approach. IEEE Trans Biomed Eng, in press.

Domanin M., Gallo D., Vergara C., Biondetti P., Forzenigo L., Morbiducci U. Dos Anjos F.V., Gazzoni M., Vieira T.M. Prediction of long term restenosis risk after surgery in the carotid bifurcation by hemodynamic and geometric analysis, Ann Biomed Eng, vol. 47(4), pp.1129-1140, 2019. http://hdl.handle.net/11583/2734520

Morbiducci U., Ponzini R., Gallo D., Bignardi C., Rizzo G. Inflow boundary conditions for image-based computational hemodynamics: impact of idealized versus measured velocity profiles in the human aorta. J Biomech, vol. 46(1), pp.102-109, 2013. http://hdl.handle.net/11583/2503142