Project description
A portable breakthrough for magnetic resonance imaging
In the realm of medical diagnostics, the role of mobile imaging devices is crucial. However, the portability of magnetic resonance imaging (MRI), a pivotal tool for neurological and musculoskeletal conditions, has remained a significant challenge. While recent strides have been made with low-field MRI devices, their weight and dimensions still limit their utility in demanding scenarios such as remote regions, sports events and home healthcare. In this context, the EIC-funded NextMRI project will address these constraints to make MRI widely accessible, revolutionising the landscape of diagnostic imaging. Objectives include expanding technology for extremity and brain imaging, enhancing diagnostics with machine learning, improving portability and ensuring cost-effectiveness.
Objective
                                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, is
not readily portable. Recently, low-field MRI companies have demonstrated the first decisive steps towards portability within medical
facilities and vehicles, but the scanners' weight and dimensions are still incompatible with more demanding use cases such as in
remote and developing regions, sports facilities and events, medical and military camps, or home healthcare. Within the Histo-MRI
and PR Scanner projects, we have recently demonstrated in vivo images taken with a light, small footprint, low-field extremity MRI
scanner outside the controlled settings provided by medical facilities, including the first-ever MRI images obtained at a patient’s
home, and even in open air connected to a gasoline generator. This has opened a path towards highly accessible MRI under
circumstances previously unrealistic.
In this project we will take the necessary technical, industrial and entrepreneurial steps to tackle the massive deployment of low-field
portable systems for point-of-care and bedside imaging in clinics large and small, home and hospice care, rural areas, sports facilities
and events, field hospitals, or NGO and military camps, making MRI available to a large fraction of the world population with no or
insufficient access. To advance towards this highly ambitious goal, the objectives of the NextMRI project include: i) expanding the
current 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 the
technology performance with clinical trials; and vi) developing a sustainable business case and model towards commer
                            
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                                                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.
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                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  HORIZON.3.1 - The European Innovation Council (EIC)
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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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(opens in new window) HORIZON-EIC-2023-TRANSITION-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28006 MADRID
Spain
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