Objective
CAD-BONE addresses a multidisciplinary research that will transform current technology by radically improving the development of patient-specific computer models for the modelling of bone remodelling/healing to predict short and long-term bone response after surgical interventions. Specifically, CAD-BONE will combine image processing, musculoskeletal modelling tools, finite element analyses and bone remodelling/healing algorithms to provide an understanding of the individual functional outcome of patient treatments from standard clinical radiographs. Although already developed and broadly in use, these computer technologies and methods are yet to be combined and integrated to create a computer tool with a predictive purpose. To successfully achieve this objective different scientific and technological challenges will be faced. Firstly, the automatic construction of patient-specific finite element models of specific bones (including geometries, loads and boundary conditions). Secondly, The improvement of current bone remodelling/healing models, which are very slow, labour-intesive and costly processes, in order to achieve accurate near real-time results; to do so, different strategies based on model reduction techniques will be explored). And, finally, the quantitative validation of these patient-specific models. Such a validation will require a quantitative comparison between real bone density distributions obtained by computer tomography (CT) and those predicted from computer simulations.
Therefore, we expect that CAD-BONE can lead to a preliminary tool for the prediction of bone morphological changes resulting from changes in mechanical loading conditions.
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.
- medical and health sciences clinical medicine surgery surgical procedures
- natural sciences mathematics pure mathematics geometry
- natural sciences mathematics applied mathematics mathematical model
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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.
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.
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.
FP7-PEOPLE-2011-IAPP
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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.
MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)
Coordinator
50009 ZARAGOZA
Spain
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