Foto del docente

Marco Viceconti

Professor

Department of Industrial Engineering

Academic discipline: ING-IND/34 Industrial Bioengineering

News

topics for Master Degree final year project (Thesis) AY 2018-2019

Title: Development of a finite element model that predicts the results of the joint wear tests using an joint simulator

Description: Under the supervision of Prof Marco Viceconti, expert of computational biomechanics of international fame, and in close collaboration with the group of Tribology directed by Dr Saverio Affatato at the Laboratory of Medical Technology of the Rizzoli Orthopaedic Institute, the candidate will develop a computational model that predicts wear between the surfaces of new joint prosthesis designs experimentally observed with joint simulators. The project involves the development of a finite element model that predicts the contact pressure and velocity fields relative to the articular interface according to the geometries, tolerances, materials, surface properties, and conditions of displacement and loading; from these we will derive a prediction of the wear of the surfaces, with relative updating of the geometries and surface properties and calculation of the lost mass in wear products. The accuracy of the model will be evaluated with respect to a series of experimental measurements conducted at the Tribology group.

Impact: wear tests using a joint simulator are mandatory for each new prosthetic design. On average they last three months each, and they are very expensive. They also have important limits, since they can hardly reproduce anomalous conditions of positioning, load, or other. Now that it is possible to provide regulators with safety evidence based on computer simulation, many orthopaedic companies are exploring how to use computational methods to replace, at least in part, the most complex laboratory tests.

----

 

Title: Prediction of mechanical resistance of small bones from micro-CT images

Description: Under the supervision of Prof. Marco Viceconti, expert of computational biomechanics of international fame, and in close collaboration with the Experimental Biomechanics group directed by Ing. Massimiliano Baleani at the Laboratory of Medical Technology of the Rizzoli Orthopaedic Institute, the candidate / it will conduct a series of experimental tests to measure the mechanical resistance of small bones, and then develop a computational model that predicts resistance from bone images obtained on computerised X-ray micro-tomography.

Type: thesis of greater commitment

Impact: the long-term goal is to drastically reduce the number of animals used in the experimentation of new drugs, partly replacing experimental tests with computer models. This is an area in strong industrial development.

----

 

Title: Quantification of muscle condition in orthopaedic patients or with neurodegenerative diseases by magnetic resonance and dynamometry

Description: Under the supervision of Prof. Marco Viceconti, expert of computational biomechanics of international fame, and in close collaboration with the group of Medical Physics directed by Dr. Fabio Baruffaldi at the Medical Technology Laboratory of the Rizzoli Orthopaedic Institute, the candidate / will develop a magnetic resonance imaging diagnostic protocol, a resulting image processing protocol, and a series of dynamometric experimental measurements, in order to quantify in a more accurate manner than is possible today in clinical practice the muscular condition of patients suffering from orthopaedic (eg osteoarthritis) or neuromuscular pathologies (stroke outcomes, Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, etc.).

Type: thesis of greater commitment

Impact: There is considerable industrial interest, especially on the pharmaceutical side, to the development of biomarkers of loss of muscle strength.

----

 

Title: Revision of hip replacement failures with modularity in the regional bone prosthesis registry and damage assessment in related explanted materials

Description: Under the supervision of Prof. Marco Viceconti, expert of computational biomechanics of international fame, and in close collaboration with the Regional Registry of Bone Prostheses directed by Dr. Barbara Bordini at the Medical Technology Laboratory of the Rizzoli Orthopaedic Institute, the Candidate will analyse the causes of failure according to the clinical criteria of all hip prostheses explanted in the region with a modularity and will elaborate appropriate statistics. The archived explanted devices will then be systematically analysed in order to identify the causes of failure according to engineering criteria where possible.

Type: thesis of greater commitment

Impact: Some modularities are currently the subject of a bitter debate in specialised literature; moreover, some clinical failures associated with this design solution are the subject of millionaire causes, especially in the United States.

 

-----

Title: Verification, validation, and quantification of the uncertainty of subject-specific models of musculoskeletal system dynamics

Description: Under the supervision of Prof. Marco Viceconti, expert of computational biomechanics of international fame, the candidate will develop a systematic evaluation protocol of subject-specific models of musculoskeletal system dynamics according to the emerging ASME V & V-40 standard, which would to use these models to evaluate the safety and / or efficacy of some classes of medical devices. These methods will be applied to a series of models built from data in open access of the so-called Knee Grand Challenge.

Type: thesis of greater commitment

Impact: the recent adoption of the ASME V & V-40 standard as a requirement for the qualification of in silico methods by FDA, a division of medical devices, makes this project extremely topical even industrial.

 

-----

Title: Regulatory qualification of simulator of the immune system.

Description: Under the supervision of Prof. Marco Viceconti, in the framework of the STriTuVaD project, the candidate will contribute to the critical evaluation of the predictive credibility of agent-based models of the immune system when used to predict the response to new therapeutic vaccines in patients with active tuberculosis infection. 

Type: thesis of greater commitment

Impact: adoption of in silico trials.

 

 

Published on: November 22 2018