Objective
Biomedical devices as Left Ventricular Assist Device and Artificial Heart Valve can potentially prolong yearly the life of around 400.000 end-stage heart diseased Europeans that are not candidate to heart transplant. Nevertheless, the blood flow characteristics modified by these devices provoke blood cell damage, thrombi, calcification and infection. Small-scale vortices, velocity gradients as well as localised stagnation contribute to device failure. Design optimisation allows device reliability enhancement. PIV is to date the best measurement technique to study aerodynamic motion fields. Extension to biomedical applications has still to be proven. The project aims to develop an interactive integrated PIV system based on miniaturised optical sensor technology, enabling removal of this criticality and to set forth conditions for the system use in the range of biomedical industries and medical laboratories.
Objectives:
This RTD activity aims to develop a multi-sensing integrated PIV system able to provide relevant advancement in the investigation of the quality of the blood motion field within biomedical devices for human implantation. Scientific objectives are associated to the ability of providing accurate blood flow characteristics modified by these devices. Specific innovations will relate the optimisation of integrated miniaturised optics for laser light sheet scanning inside small objects. Additional features will address image treatment and realtime processing based on parallel computing SW&HW, feedback from advanced numerical results and easiness of PIV data interpretation by suitable GraphicalUser Interface. Achievement of project objectives will induce enhancement of device reliability and longevity guaranteeing a better quality life of patients.
Work description:
The project will introduce significant innovation in PIV HW&SW, leading to major research results in providing accurate motion field mapping of biomedical devices. These devices still suffer from local flow properties induced failure that can be avoided by proper design change. A new generation of PIV HW will allow improved mapping of seeding particles. Innovation aspects will relate the optimisation of miniaturised optical sensor technology, for viewing the laser light sheet inside small areas as well as evolution of image processing technique. The computing electronics will be improved developing new parallel computing HW&SW module architecture with enhanced stability and accuracy. Efficient processing SW techniques will be designed and implemented to improve the computational speed and precision, as far as required by the image treatment resolution. A framework of advanced numerical analyses will be constructed in order to parallel analyses on critical issues. Finally dedicated algorithms based on Graphical User Interface architectures will be developed for real-time data visualisation. The reconstructed data, presented in a user-friendly graphical way, will enable the medical operator with fast and efficient means of analysis and judgement of motion field critical variables. This feature will provide a significant improvement in the system performance for a diffuse future use of PIV system, today restricted to professionally trained operators only. To proof the achieved performance, two test-beds (development prototype facility and 3D stereo-PIV platform for validation) will be set-up with the aim to analyse two study cases, e.g. LVAD and artificial heart valve prototype. The demonstration of SMART-PIV effectiveness to validate biomedical devices by providing crucial information on the quality of the fluid dynamics not achievable by means of other in vitro techniques will represent the expected result from the experimentation.
Milestones:
The following milestones shall be achieved: System and Testing Requirements; PIV HW&SW Design & Validation; Parallel Computing HW&SW development; Image Processing SW Development; Advanced Numerical Simulation Results; Graphical User Interface SW Development; System Integration and Laboratory Testing.
Expected results are: SMART-PIV prototype including miniaturised technology; new generation parallel computing HW&SW; innovative SW for image treatment and interpretation; advanced numerical forecast output.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences physical sciences classical mechanics fluid mechanics fluid dynamics
- medical and health sciences medical biotechnology implants
- natural sciences mathematics applied mathematics numerical analysis
- natural sciences physical sciences optics laser physics
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.