CAD-BONE
Patient-specific predictions for bone treatments
| Coordinatore | UNIVERSIDAD DE ZARAGOZA
Organization address
address: CALLE PEDRO CERBUNA 12 contact info |
| Nazionalità Coordinatore | Spain [ES] |
| Totale costo | 582˙790 € |
| EC contributo | 582˙790 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2011-IAPP |
| Funding Scheme | MC-IAPP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-01-01 - 2015-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSIDAD DE ZARAGOZA
Organization address
address: CALLE PEDRO CERBUNA 12 contact info |
ES (Zaragoza) | coordinator | 187˙601.00 |
| 2 |
MATERIALISE NV
Organization address
address: TECHNOLOGIELAAN 15 contact info |
BE (HEVERLEE) | participant | 224˙587.00 |
| 3 |
KATHOLIEKE UNIVERSITEIT LEUVEN
Organization address
address: Oude Markt 13 contact info |
BE (LEUVEN) | participant | 170˙602.00 |
Mappa
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Obiettivo del progetto (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.'