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GEM IMAGIN

GENERAL EQUIPMENT FOR MEDICAL IMAGING SA
Country: Spain
8 Projects, page 1 of 2
  • Funder: European Commission Project Code: 618080
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  • Funder: European Commission Project Code: 603002
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  • Funder: European Commission Project Code: 606017
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  • Funder: European Commission Project Code: 800858
    Overall Budget: 50,075,000 EURFunder Contribution: 24,999,900 EUR

    Five leading European supercomputing centres are committed to develop, within their respective national programs and service portfolios, a set of services that will be federated across a consortium. The work will be undertaken by the following supercomputing centres, which form the High Performance Analytics and Computing (HPAC) Platform of the Human Brain Project (HBP): ▪ Barcelona Supercomputing Centre (BSC) in Spain, ▪ The Italian supercomputing centre CINECA, ▪ The Swiss National Supercomputing Centre CSCS, ▪ The Jülich Supercomputing Centre in Germany, and ▪ Commissariat à l'énergie atomique et aux énergies alternatives (CEA), France (joining in April 2018). The new consortium will be called Fenix and it aims at providing scalable compute and data services in a federated manner. The neuroscience community is of particular interest in this context and the HBP represents a prioritised driver for the Fenix infrastructure design and implementation. The Interactive Computing E-Infrastructure for the HBP (ICEI) project will realise key elements of this Fenix infrastructure that are targeted to meet the needs of the neuroscience community. The participating sites plan for cloud-like services that are compatible with the work cultures of scientific computing and data science. Specifically, this entails developing interactive supercomputing capabilities on the available extreme computing and data systems. Key features of the ICEI infrastructure are: ▪ Scalable compute resources; ▪ A federated data infrastructure; and ▪ Interactive Compute Services providing access to the federated data infrastructure as well as elastic access to the scalable compute resources. The ICEI e-infrastructure will be realised through a coordinated procurement of equipment and R&D services. Furthermore, significant additional parts of the infrastructure and R&D services will be realised within the ICEI project through in-kind contributions from the participating supercomputing centres.

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  • Funder: European Commission Project Code: 101099896
    Overall Budget: 3,374,040 EURFunder Contribution: 3,374,040 EUR

    Over 2.7 million people in the EU were diagnosed with cancer in 2020, while 1.3 million people lost their lives to it. Cancer cases are predicted to increase by 24% by 2035, making it the leading cause of death in the EU. The current leading specific molecular imaging diagnostic technique sensitive to cancer is based on Positron Emission Tomography (PET). Due to the high implementation cost of PET, this high-sensitivity diagnostics, is only available to less than 0,5 % of the medical centers in the world. The critical component of the overall cost is the cost of PET scanners. Our project proposes a radical vision to translate European breakthrough technological advances in Time-of-Flight PET detection to a revolutionary, fully modular, cost-accessible flexible family of devices for applications from the standard PET center to the surgery, epilepsy clinics, intensive care units and even emergency rooms and in mobile units installed in vans. The proposed PetVision project aims to develop a simple pilot demonstrator, a modular panel PET device with a coincidence timing resolution of about 75 ps FWHM, close to the intrinsic timing limit of currently available PET scintillators. This resolution is several times better than the current gold standard of 214 ps FWHM achieved with the current clinical state-of-the-art device (Siemens Biograph Vision). With such excellent timing, the panel detectors can cover only a limited solid angle to reach the same sensitivity or improve the sensitivity in the case of a total-body imager. For the realization of the device, a package of breakthrough innovations in detector design, photo-sensor, and front-end electronics are planned. We expect that the proposed device will dramatically impact human health.

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