Cel
HIGH PROFILE combines industrial and clinical driven R&D activities dealing with image diagnostic platforms for the central nervous system. The project’s approach is to progress state-of-the-art by integrating imaging equipment for diagnostics –including algorithms, equipment and infrastructure for massive image processing and simulation– to support combinations of images from different medical equipment modalities (MRI, MRS, fMRI, NIRS, EIT and EEG) and comparison/fusion of images with physiological models of central nervous systems.
HIGH PROFILE aims to develop multi-scale, adaptive algorithms to merge information about the actual behavior of the brain, originating from (f)MRI, MRS, NIRS, EIT and EEG. These algorithms allow a physician to follow the status of the patient during his/her evolution, and be supported by a suitable content management platform and a data infrastructure capable of handling the massive quantities of data produced by these technologies, delivering them to their point of use.
Better imaging of the central nervous system and the head/neck area will improve diagnosis treatment of neurological diseases like insomnia, depression, multiple sclerosis and epilepsy, as well as brain and head/neck cancer. The approach developed by HIGH PROFILE for these conditions should also be extendable to the whole field of advanced medical imaging.
For deployment it is necessary to address the challenge of the increasing complexity of real time image processing. The necessary image processing components will be deployed on standard hardware to perform the necessary processing tasks. Image processing is a performance intensive task and system integrators will deploy it on emerging standard hardware platforms running (configurations of) multi-core processors. As this deployment is not only relevant for healthcare only, and a generic platform improves the possibilities to integrate external software, other domains are involved in the deployment of image processing chains.
APPROVED BY ARTEMIS-JU 24/06/2014
Dziedzina nauki
- natural sciencesbiological sciencesneurobiology
- natural sciencescomputer and information sciencessoftware
- medical and health sciencesbasic medicineneurologymultiple sclerosis
- medical and health sciencesclinical medicineoncologyhead and neck cancer
- engineering and technologymedical engineeringdiagnostic imaging
Zaproszenie do składania wniosków
ARTEMIS-2010-1
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System finansowania
JTI-CP-ARTEMIS - Joint Technology Initiatives - Collaborative Project (ARTEMIS)Koordynator
5684 PC Best
Niderlandy
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Uczestnicy (18)
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02044 VTT ESPOO
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3584 CX Utrecht
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2252 EG VOORSCHOTEN
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2312 NR Leiden
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5651 GG Eindhoven
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1017 VV AMSTERDAM
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1411AT NAARDEN
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1210 Wien
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8020 Graz
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70211 KUOPIO
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02150 Espoo
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90630 OULU
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90590 Oulu
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8500 Kortrijk
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20864 Agrate Brianza
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40126 Bologna
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90133 Palermo
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1017 VV Amsterdam
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