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Aortic – Team

The Monasterio also houses the BioCardioLab bioengineering laboratory dedicated to studying the biomechanics of the aorta using precision medicine approaches.

The Aortic Team participates and collaborates in the BioCardioLab research activities, forming a multidisciplinary group that is unique in Italy. At this laboratory, specific test benches and software applications have been developed to study aortic pathology by integrating advanced techniques such as:

  • mechanical characterisation of biological tissues

  • morphological and functional imaging (CT, MR and US)

  • numerical simulations (structural and fluid dynamics)

  • virtual reality

  • artificial intelligence

  • 3D printing

Fondazione Toscana G. Monasterio, through BioCardioLab, is a partner of the European project Meditate The Medical Digital Twin for Aneurysm Prevention and Treatment

  1. F. di Bartolo et al, Numerical simulations of light scattering in soft anisotropic fibrous structures and validation of a novel optical setup from fibrous media characterization, Electronics, 10(5), 579; doi: 10.3390/electronics1010000, 2021

  2. E. Vignali et al, Development and realization of an experimental bench test for Small Angle Light Scattering and Biaxial Traction analysis of tissues, Electronics , 10(4), 386, doi: 10.3390/electronics10040386, 2021

  3. E. Vignali et al, Correlation between micro and macrostructural biaxial behavior of aTAA: a novel experimental technique, Medical Engineering & Physic, 86, 78-85, 2020, doi: 10.1016/j.medengphy.2020.10.012

  4. K. Capellini et al, A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data, Medical Engineering & Physic, 2020, doi: 10.1016/j.medengphy.2020.09.005A

  5. Vignali, E., Gasparotti, E., Capellini, K., Fanni, B. M., Landini, L., Positano, V., & Celi, S., Modelling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulations, The International Journal of Robotics Research, 2020 doi: 10.1177/0278364920927476

  6. K. Capellini et al, Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and RBF mesh morphing approach, J Biomech Eng, (2018) doi: 10.1115/1.4040940