Objective
Recent advances in magnetic resonance (MR) acquisition technology are providing us with images of the human brain of increasing detail and resolution. While these images hold promise to greatly increase our understanding of such a complex organ, the neuroimaging community relies on tools (e.g. SPM, FSL, FreeSurfer) which, being over a decade old, were designed to work at much lower resolutions. These tools do not consider brain substructures that are visible in present-day scans, and this inability to capitalize on the vast improvement of MR is hampering progress in the neuroimaging field.
In this ambitious project, which lies at the nexus of medical histology, neuroscience, biomedical imaging, computer vision and statistics, we propose to build a set of next-generation computational tools that will enable neuroimaging studies to take full advantage of the increased resolution of modern MR technology. The core of the tools will be an ultra-high resolution probabilistic atlas of the human brain, built upon multimodal data combining from histology and ex vivo MR. The resulting atlas will be used to analyze in vivo brain MR scans, which will require the development of Bayesian segmentation methods beyond the state of the art.
The developed tools, which will be made freely available to the scientific community, will enable the analysis of MR data at a superior level of structural detail, opening completely new opportunities of research in neuroscience. Therefore, we expect the tools to have a tremendous impact on the quest to understand the human brain (in health and in disease), and ultimately on public health and the economy.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- natural sciences biological sciences genetics
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences biological sciences histology
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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-STG - Starting 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-2015-STG
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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.
WC1E 6BT LONDON
United Kingdom
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.