Obiettivo
The purpose of the project INSERT is to provide clinically relevant stratification and improved personalized radio-chemo therapy for brain tumour patients using a specifically developed multi-modality imaging tool. The system will also be used for early assessment of treatment efficacy. The initial focus will be on patients with glioma but there is future potential to target a range of tumours in the head and neck region. The proposed system is based on the development of a novel SPECT (Single Photon Emission Computed Tomography) system, suitable for insertion in the bore of an existing MRI (Magnetic Resonance Imaging) system, a cost-effective solution for widespread application. The combined system will allow the simultaneous measurement of anatomical (MRI) and functional (SPECT & MRI) information and the evaluation of their correlation in space and time. The SPECT design will enable acquisition of fast dynamic studies, with possibility for simultaneous measurement using multiple radionuclides (emitting at different energies), a distinct advantage compared to positron emission tomography (PET). This property can allow in-vivo simultaneous visualisation of spectrally resolved molecular and biochemical tumour properties. The stationary SPECT system is based on recently developed innovative gamma-ray detectors made with Silicon Drift Photodetectors, technology that achieves high-spatial resolution and is compatible with MRI thanks to the use of a silicon photodetector instead of photomultiplier tubes. The multi-modality SPECT/MRI imaging here proposed will apply a fully translational, vertical integration of research and development from technology design through preclinical models to clinical validation.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
- natural scienceschemical sciencesinorganic chemistrymetalloids
- natural scienceschemical sciencesnuclear chemistryradiation chemistry
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
Invito a presentare proposte
FP7-HEALTH-2012-INNOVATION-1
Vedi altri progetti per questo bando
Meccanismo di finanziamento
CP-FP - Small or medium-scale focused research projectCoordinatore
20133 Milano
Italia