Objective
X-ray imaging devices are powerful tools, which provide information about the inner structure of samples during non-destructive examination. However, a range of applications such as studies of early formation stages of metallic foams or conveyor-belt inspection suffer from poor spatial resolution and limited Detective Quantum Efficiency (DQE) of scintillator materials which are used in the detectors available at the moment. The basis of our proposal is the development of new thin layer scintillators for hig h resolution imaging using X-radiation.
The proposed project contains the development and optimisation of production processes of substrate and thin layer using Liquid Phase Epitaxy, transfer of these processes to an industrial partner, characterisation of the novel scintillators and tests for different applications with X-radiation from synchrotrons and X-ray tubes. The project will focus on Lu2SiO5:Eu (LSO:Eu) to improve the Detective Quantum Efficiency of the detector.
The high absorption efficiency of this ceramic material promises an obvious improvement in the light yield, while the possibility of microstructuring can lead to an improvement in the spatial resolution, especially at high energies. Additionally by applying an anti-reflex coating the wave-guiding effect can be suppressed leading to a higher image quality. Combining these new scintillators with suitable electronics will result in an optimised type of compact X-ray detector. Due to the higher DQE the new scintillator will allow X-ray tomography of medical and biological samples with lower radiation exposure.
The usage of such systems in automated inspection systems will improve the product safety. The advanced spatial resolution even at higher energies and reduced exposure times are interesting aspects for tomography measurements with synchrotron radiation resulting in an enhanced field of applications and a significantly increased number of measured samples in a time unit.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Call for proposal
FP6-2004-NMP-TI-4
See other projects for this call
Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
KARLSRUHE
Germany