R&D Valorisation
 
Name
 
 
Description
 

1

Cardiac function evaluation and application to the planning of cardiovascular therapies

CardioSuite / ACC1Ó VALOR

 

GIMIAS is a workflow-oriented environment for advanced biomedical image computing and physiological modeling. It is an open source software framework designed for the efficient development clinical prototypes. This facilitates the transfer of technology to clinical research settings and to industry. GIMIAS integrates tools from medical imaging, computational modeling and computer graphics. Typical applications of GIMIAS are in the field of multi-modal image visualization and processing, personalized model creation, physiological modeling and simulation post-processing.CardioSuite project aims to make a prototype developed by the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) in a commercial product capable of providing professional clinicians a new tool for clinical decision support in cases of cardiac dysfunction, the aims are:

  • Provide new indexes not used previously for the clinical diagnostic associated to heart disease. Improve the selection of patients that could respond favourably to a therapy (for example, resynchronization therapy or TRC that is used to treat cardiac asynchrony. Reduce the risk of the patients who are undergoing those therapies.
  • Reduce the expenses related to those therapies as TRC for the public and private health.
  • CardioSuite is an original tool because integrates the results of recent researches in the modelling and quantification cardiac area, the process starts from multimodal images obtained from imaging equipment, through those can be obtained new indexes for the evaluation of the cardiac function and for the selection of new patients who may respond to the resynchronization therapy TRC. CardioSuite development is integrated by 3 featured agents in the transfer of results in the field of health, such as CISTIB from Universitat Pompeu Fabra, the Grupo Hospitalario Quirón and Innocat organisation specialised in technology transfer.
  • The ultimate goal of this project is to bring to market better tools for clinicians who treat cardiovascular diseases such as resynchronization therapy heart (TRC) and thereby improve the quality of life of patients.

Coordinator
 
Programme
 
Consortium
 
Period Total
 
Total Budget
Universitat Pompeu Fabra
 
  • Software Systems and Components
 
  • Grupo Hospitalario Quirón
  • Innocat serveis tecnologics
 

Start: 01/01/2011
End:  12/31/2012

 
98.925 €
 

2

EndoTreat-IA: Tool for endovascular treatment planning of intracranial aneurysms using coils

EndoTreat-IA / AGAUR-ACC1Ó VALOR

 

A large proportion of strokes are the result of the rupture of intracranial aneurysms that have developed in the cerebral circulation. Approximately between 2-3% of the population (around 800,000 people) suffer or will suffer this pathology only in Spain. These aneurysms are caused by local remodeling of the arteries, initiated by the interaction of the vascular wall with certain blood flow patterns that damage the arterial wall, which is usually more common in vascular bifurcations, by the mechanical load (due to systemic pressure and its variation with local shear stress induced by the flow) and the vascular wall composition (genetically determined).

The treatment of this disease is a complex process based primarily on medical expertise. The use of computational tools to assist clinicians in planning this type of treatment will improve the quality of the treatment and the quality of life of the patients

Endotreat is a new tool unique in its kind, which allows for the first time, the planning of minimally invasive procedures in patients by implanting coils (devices used to fill the interior of an aneurysm so that slow or disrupt the blood flow in order to cover the aneurysm). Endotreat has developed computational models for virtual placement of these coils, as well as advanced visualization techniques to assist the clinicians during the planning of the intervention. This process new clearly help gain a better understanding and a custom optimization of this procedure compared to the traditional procedure which is generally difficult to predict the required number of coils that will jeopardize the patient by overfilling (which may cause the rupture of the aneurysm), on the one hand, and the risk of recanalization by a filled incomplete aneurysm on the other.

Coordinator
 
Programme
 
Consortium
 
Period Total
 
Total Budget
Universitat Pompeu Fabra
 
  • Computational Physiology
  • Software Systems and Components
 
  • Hospital Clínic i Provincial de Barcelona,
    Departamento de Radiología Vascular
 

Start: 01/01/2011
End:  12/31/2013

 
96.300 €