| Url |
https://cimne.com/sgp/rtd/Project.aspx?id=367 |
|
| Acronym |
DISHEART |
| Project title |
Grid based decision support system for clinical diagnosis and interventions in cardiovascular problems |
| Official Website |
http://www.cimne.com/disheart |
| Reference |
COOP-CT-2004-513226 |
| Principal investigator |
Eugenio OÑATE IBAÑEZ DE NAVARRA - onate@cimne.upc.edu
|
| Start date |
01/11/2004 |
End date |
28/02/2007 |
| Coordinator |
CIMNE |
| Consortium members |
- COMPASS ING. Y SISTEMAS, S.A.
- QUANTECH
- INCDTP
- INRA
- INTERLAB
- INSIEL
- INTEL
- INSA
- INTRO
|
| Program |
FP6 (2002-2006) |
Call |
FP6-2002-SME-1 |
| Subprogram |
- |
Category |
Europeo |
| Funding body(ies) |
EC |
Grant |
$345,500.00 |
| Abstract |
The DISHEART project aims at developing a new computer based decision support system (DSS) integrating medical image data, modelling, simulation, computational Grid technologies and artificial intelligence methods for assisting clinical diagnosis and intervention in cardiovascular problems. The RTD goal is to improve and link existing state of the art technologies in order to build a computerised cardiovascular model for the analysis of the heart and blood vessels. The resulting DISHEART DSS will interface computational biomechanical analysis tools with the information coming from multimodal medical images. The computational model will be coupled to an artificial neural network (ANN) based decision model that can be educated for each particular patient with data coming from his/her images and/or analyses. The DISHEART DSS system will be validated in trials of clinical diagnosis, surgical intervention and subject-specific design of medical devices in the cardiovascular domain. The DISHEART DSS will also contribute to a better understanding of cardiovascular morphology and function as inferred from routine imaging examinations. Four reputable medical centers in Europe will take an active role in the validation and dissemination of the DISHEART DSS as well as the elaboration of computational material and medical images.
The integrated DISHEART DSS will support health professionals in taking promptly the best possible decision for prevention, diagnosis and treatment. Emphasis will be put in the development of user-friendly, fast and reliable tools and interfaces providing access to heterogeneous health information sources, as well as on new methods for decision support and risk analysis.
The use of Grid computing technology will be essential in order to optimise and distribute the heavy computational work required for physical modelling and numerical simulations and especially for the parametric analysis required for educating the DSS for every particular application.
The end user SME's participating in the project will benefit from the new DISHEART DSS. The companies COMPASS, QUANTECH and Heartcore will market the DSS among public and private organizations related to the cardiovascular field. EndoArt will exploit the DISHEART DSS as a support for enhanced design and production of clinical devices. |
