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Next generation X-ray imaging system

Objective

A photonics driven breakthrough in image quality and functionality of an interventional X-ray system will allow to perform stroke diagnosis directly in the treatment suite and have a huge impact: enhanced work flow, reduced diagnosis & treatment time (up to 50% time reduction) which will save people’s life and reduce healthcare costs.
NEXIS will establish enhanced contrast Cone Beam CT imaging while keeping high spatial resolution for 2D image guidance by an innovative spectral X-ray detector and related image processing (including deep learning). Two new key photonic components will be developed: 1) A thin foil based image sensor which has a (semi-) transparent TFT backplane, so that the photodiode array can receive light from both the top and the bottom side. This (semi-) transparency will be optimised, so that the image sensor can collect light effectively from top and bottom scintillator layers at the same time. 2) A 3D printed pixelated CT-like scintillator with high spatial and temporal resolution to enable fast Cone Beam CT imaging without image artefacts. The usability and applicability of the new spectral NEXIS X-ray system for stroke imaging will be clinically validated in a European top hospital. The project brings together a multidisciplinary consortium, involving the full value chain (photonics R&D, medical system integrator, application owner, supply chain and equipment manufacturing). It will allow key players in the European medical photonics industry to generate sales and stay competitive by providing new X-ray imaging modalities and EU based manufacturing. NEXIS will strengthen European competitiveness by developing a spectral Detector-on-Foil technology that meets the needs of the European and global X-ray image detectors market. NEXIS initiate the transition of standard (black&white) to spectral (colour) X-ray detectors, which will improve performance and functionality of X-ray imaging systems.

Field of science

  • /medical and health sciences/basic medicine/neurology/stroke
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-ICT-2017-1
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

PHILIPS MEDICAL SYSTEMS NEDERLAND BV
Address
Veenpluis 6
5684 PC Best
Netherlands
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 1 163 244,25

Participants (9)

PHILIPS ELECTRONICS NEDERLAND BV
Netherlands
EU contribution
€ 1 018 806,25
Address
High Tech Campus 52
5656 AG Eindhoven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO
Netherlands
EU contribution
€ 1 181 392,50
Address
Anna Van Buerenplein 1
2595 DA Den Haag
Activity type
Research Organisations
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
Belgium
EU contribution
€ 611 680
Address
Kapeldreef 75
3001 Leuven
Activity type
Research Organisations
TECHNISCHE UNIVERSITEIT EINDHOVEN
Netherlands
EU contribution
€ 527 893,75
Address
Groene Loper 3
5612 AE Eindhoven
Activity type
Higher or Secondary Education Establishments
KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium
EU contribution
€ 769 250
Address
Oude Markt 13
3000 Leuven
Activity type
Higher or Secondary Education Establishments
TRIXELL
France
EU contribution
€ 1 505 700
Address
460 Rue De Pommarin Zi Centre Alp
38430 Moirans
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
3DCERAM
France
EU contribution
€ 244 481,13
Address
27 Rue Du Petit Theil
87280 Limoges
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
REGION STOCKHOLM
Sweden
EU contribution
€ 552 767,50
Address
Hantverkargatan 45
104 22 Stockholm
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
PHILIPS AKTIEBOLAG
Sweden
EU contribution
€ 136 937,50
Address
Knarrarnasgatan 7
164 85 Stockholm
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)