Teaching / Theses

The Bioengineering Unit staff teaches in the Biomedical Engineering School of the University of Pisa in the following courses:

MSc Theses

MSc theses in Bioengineering can be developed at BioCardioLab on several topics, as:

  • Numerical simulations in the biomedical field
  • Biomedical image analysis
  • Design, simulation and fabrication of biomedical devices

Thesis @ BCL

Fell free to contact the BioCardioLab staff (Simona CeliVincenzo PositanoLuigi Landini) for further information and visits to the laboratory.

Theses Proposals with Laboratoire Sainbiose (UMR INSERM-U1059 – Mines Saint-Etienne)

Multiscale modeling of mass transport across large blood vessels. Investigations in the domain of arterial mechanobiology, in collaboration with vascular surgeons.

Theses Proposals with UCL (London)

Fluid structure interaction of flow in patient geometry of congenital aorta In this analysis we perform fluid-structure interaction (FSI) simulations on patient specific geometries of patient diagnosed with Hypoplastic Left Heart Syndrom (HLHS) disease. Patients suffering from this condition present an underdevelopped aorta which needs to be repaired (reconstructed) using additional biocompatible material. The project is based on a computational modelling approach using LS-Dyna software to design the FSI simulation along with other tools to pre- and post-process the geometry and results. Good understanding of basics of fluid flow and structural mechanics is required. Eventual experimental set-up can be built towards the end of the project in order to validate computational results.

Theses Proposals with UNIPI  (Dep. of Aerospace Engineering)

Study of Numerical Simulations of Thoracic Aorta Hemodynamics: Comparison with In Silico Measurements and Stochastic Sensitivity Analysis

Theses Proposal with FUJIFILM-VisualSonics Amsterdam, The Netherlands
(Remote + Onsite/Industrial Visit)
Development of AI Tools for Ultrasound (US) & Photoacoustic (PA) Image Visualization and Quantification

The goal of this project is to develop a framework to optimize the 3D visualization and quantification of high resolution USPA imaging. In particular: design, implementation and validation of ML tools for USPA image segmentation, visualization and quantification. The project is part of an extraordinary industrial experience with possibility to assist in-vivo experiments with the USPA technology in our lab in Amsterdam. You will be working closely with a PhD student and R&D manager. Due to current travel restrictions, we can start remotely and with possibility in the near future to visit us at the European Headquarters in Amsterdam. Further details can be found in the following links:

Running Theses

      • Marilena Mazzoli – Sviluppo di sistemi intelligenti per lo studio della fluidodinamica cardiovascolare mediante reti physically based
      • Raffaella Erario – Sviluppo di una piattaforma integrata per lo studio della fluidodinamica di shunt
      • Nicola Bechini – Effetto  della procedura Cardioband sulla valvola mitrale
      • Alessandro Benvenuti – Analisi numerica della fluidodinamica dell’auricola
      • Simone Garzia: Sviluppo di algoritmi di IA per 3d segmentation di aorta da MRI
      • Michela Caridi – Simulazione numerica di un sistema ECMO
      • Eleonora Del Pia: Modelli CFD di pazienti post LAAO
      • Miriana Pititto: Uncertainty quantification su proprietà meccaniche in-silico per simulazioni paziente-specifiche di grandi vasi.
      • Silvio Centonze: Studio CFD dell’influenza delle condizioni di inlet nella sezione della valvola artica sulla fluidodinamica coronarica in Ambiente SinVascular mediante tecniche UQ