Objective
This project seeks to exploit cross-term spatiotemporal encoding (xSPEN), a single-shot MRI modality that we introduced last year as part of our efforts to develop new ultrafast techniques in nuclear magnetic resonance. Besides delivering single-shot images in tens of milliseconds, xSPEN exhibits an unprecedented resilience to field inhomogeneities enabling it to access regions that have so far never been scanned by single-scan MRI. Over the last year we have confirmed this and further developed these single-shot measurements, combining it with sequences and algorithms enabling their use in kinetic and diffusivity studies. This PoC proposes to employ these new methods to tackle three problems that pose open challenges in diagnostic radiology, due to their involvement of tissue-metal and tissue-air interfaces subject to strong susceptibility distortions. These include (i) accessing physiological information in the proximity of metal implants; (ii) diagnosing cholesteatomas, a middle-ear growth of chronic recurrence with characteristic diffusion parameters; and (iii) examining and diagnosing optic nerve neurofibromatosis tumours by diffusion and by dynamic contrast enhanced MRI. By enabling non-invasive, mostly diffusion-based characterisations of these challenging radiological problems, xSPEN will provide hitherto unavailable opportunities to perform repetitive, differential diagnoses of diseases whose permanent solution demands invasive radiation and/or surgery procedures. This can in turn free patients from what could be unnecessary, highly invasive and dangerous operations, preserving a normal lifestyle, and alleviating associated healthcare costs. Furthermore, as despite its uniqueness xSPEN is compatible with thousands of contemporary clinical MRI machines, validating its diagnostic use on a suitable cohort of volunteers and patients should open a world-wide market of radiological imaging applications, with a life time of decades.
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.
- medical and health sciences clinical medicine surgery
- medical and health sciences clinical medicine radiology
- medical and health sciences medical biotechnology implants
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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.
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.
Funding Scheme
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.
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.
ERC-POC - Proof of Concept Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-PoC
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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.
7610001 Rehovot
Israel
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.