Teaching / Theses

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

• Analisi e Modelli di Segnali Biomedici (Cod. 247II) – Prof. Luigi Landini
• Analisi e Modelli di Segnali Biomedici II (Cod. 247II) – Prof. Luigi Landini
• Metodi per l’analisi di Segnali Multidimensionali (Cod. 257II) – Prof. Luigi Landini
• Lab Training (Cod. 1088Z) – Prof. Luigi Landini
• Principi di Metodologie Diagnostiche (Cod. 746II) Ing. Simona Celi
• Strumenti di Analisi Numerica per l’ingegneria Biomedica (Cod. 831II) Ing. Simona Celi
• Tecnologie per la medicina rigenerativa Ing. Simona Celi
• Elaborazione delle Bioimmagini (Cod. 248II) – Ing. Vincenzo Positano The course covers the basic principles of biomedical imaging analysis, ranging from image quality assessment, image filtering and segmentation, image registration, quantitative image analysis. Course material is free available (only Italian).

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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 Celi,  Vincenzo Positano, Luigi Landini) for further information and visits to the laboratory.

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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

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Running Theses

• • • Elisa Benelli: Effetto del WSS sulla coagulazione
    • Maria Teresa Marino: Simulazioni fluidodinamiche del flusso coronarico su risonanza magnetica 7T
    • Roberta Tralongo: Analisi di immagini OCT per lo studio di maculopatie
    • Enrico Vignali: Simulazioni numerico sperimentale della fluidodinamica dell’aorta
    • Niccolò Mori: Simulazioni numerico sperimentale della fluidodinamica della coartazione aortica

• 2020
  • Andrea Baldini: Study of a cohort of patients affected by Tetralogy of Fallot: an integrated approach between numerical simulation and experimental activities.

 

• 2019
  • Leonardo Geronzi: Development of a fast high fidelity FSI workflow to simulate polymeric aortic valves: a RBF mesh morphing study
  • Bernardo Alunno Rossetti: Numerical investigation of a parametric model for the material characterization of great vessels
  • Ilaria Ricci: Sviluppo e implementazione di un modello 4D di condizioni al contorno di ingresso per lo studio della fluidodinamica cardiovascolare
  • Michele Corti: Development of an in silico and an in vitro workflow for the planning of cerebral aneurysms intervention: an integrated approach with echo-PIV and CFD (with INSERN)
  • Federica Poli: Progettazione e realizzazione di un banco prova per la caratterizzazione optomeccanica del tessuto vascolare
  • Maria Nicole Antonuccio: Towards the translation of patient-specific simulations into clinics: an integrated approach in guiding CFD analysis for a non-invasive study of aortic coarctation (with UCL)
  • Marianna d’Amico: Modellizzazione di immagini LGE di risonanza magnetica cardiaca per lo sviluppo di algoritmi automatici di segmentazione di regioni fibrotiche
  • Davide Giannetti:  Sviluppo di un algoritmo di tracking per immagini ecografiche per lo studio funzionale della valvola mitrale pre e post impianto di chiusura dell’auricola sinistra.

• 2018
  • Valeria Grasso: Unsupervised analysis of phase contrast MRI by maximally stable extremal region algorithm for patient-specific tissue characterization  (with UCL)
  • Giulia Barondi: Sviluppo di un banco prova fluidodinamico per lo studio funzionale di protesi valvolari
  • Alice Covelli: Valutazione delle alterazioni fluidodinamiche dell’atrio destro mediante analisi computazionale
  • Mario di Leonardo: Sviluppo di modelli in silico per l’analisi morfologica e funzionale dell’auricola sinistra mediante simulazioni numeriche CFD
  • Dario Sabatino: Planning dell’intervento di chiusura della auricola sinistra  mediante approccio integrato di tecniche di imaging e analisi FEM
  • Zaira Manigrasso: Mock cardiac pump compatible with magnetic resonance imaging: design, simulation and fabrication (with UCL)

• 2017
  • Benigno Marco Fanni: Image-based mechanical characterization of large blood vessels: a combined approach of experimental and computational tools (with UCL)