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| Funder | European Commission |
|---|---|
| Recipient Organization | Agencia Estatal Consejo Superior de Investigaciones Cientificas |
| Country | Spain |
| Start Date | Oct 01, 2023 |
| End Date | Sep 30, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 5 |
| Roles | Participant; Coordinator |
| Data Source | European Commission |
| Grant ID | 101136407 |
Mobile medical imaging devices are invaluable for clinical diagnostic purposes both inside and outside healthcare institutions.Unfortunately, Magnetic Resonance Imaging (MRI), the gold standard for numerous neurological and musculoskeletal conditions, isnot readily portable.
Recently, low-field MRI companies have demonstrated the first decisive steps towards portability within medicalfacilities and vehicles, but the scanners' weight and dimensions are still incompatible with more demanding use cases such as inremote and developing regions, sports facilities and events, medical and military camps, or home healthcare.
Within the Histo-MRIand PR Scanner projects, we have recently demonstrated in vivo images taken with a light, small footprint, low-field extremity MRIscanner outside the controlled settings provided by medical facilities, including the first-ever MRI images obtained at a patient’shome, and even in open air connected to a gasoline generator.
This has opened a path towards highly accessible MRI undercircumstances previously unrealistic.In this project we will take the necessary technical, industrial and entrepreneurial steps to tackle the massive deployment of low-fieldportable systems for point-of-care and bedside imaging in clinics large and small, home and hospice care, rural areas, sports facilitiesand events, field hospitals, or NGO and military camps, making MRI available to a large fraction of the world population with no orinsufficient access.
To advance towards this highly ambitious goal, the objectives of the NextMRI project include: i) expanding thecurrent technology to both extremity and brain imaging; ii) improving the diagnostic capabilities with machine learning; iii)improving the portability and usability to meet end-user needs; iv) optimizing production costs; v) gathering medical evidence of thetechnology performance with clinical trials; and vi) developing a sustainable business case and model towards commer
Academisch Ziekenhuis Leiden; Fundacion Para la Investigacion Del Hospital Universitario la Fe de la Comunidad Valenciana; Physio Mri Tech Sl; Agencia Estatal Consejo Superior de Investigaciones Cientificas; Bergman Germany Holdco Gmbh
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