Objective
The major objective of the proposal is to develop a new generation of sensors that will create a break-through in the diagnostic quality of X-ray images in health, industry and security. The new sensors will incorporate technology that will enable adaptive imaging. These will lead to optimisation of the recorded information at the same time as minimising the radiation dose or duration of examination; in practice the ideal imaging system. These objectives closely match those stated in the Call FP62002-NMP-1 "to provide a new generation of sensors and systems for health, safety and security of people and the environment. To develop this new I-Imams technology the project is decided into three phases. Firstly an analysis of the important cues to diagnostic information in an image and how these might be monitored by an intelligent sensor. Secondly, phases where a new generation of CMOS sensors, the I-Imams sensors, are designed and manufacture that incorporate the appropriate level of intelligence. Finally a quantitative evaluation of the success of I-Imams technology when incorporated into an adaptive imaging system. The project will concentrate on two diverse and challenging medical imaging areas as a proof of principle. The consortium consists of an impressive team of scientists, end users and industrialists. Nine groups from five member states provide the critical mass and the necessary degree of complementarily in the key areas of sensors technology and applications. Each participant plays a vital role in bringing unique skills to the project. The strategic impact of the I-Imams intelligent imaging approach is planned to be:
* improved patient management and lower radiation burden for the population, and for the future
* higher quality control in manufacturing industry with increased throughput leading to less component failures and greater customer satisfaction, and
* total threat detection in security scanning with improved thought.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- medical and health sciencesclinical medicineradiology
- medical and health sciencesclinical medicineoncologybreast cancer
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymedical engineeringdiagnostic imaging
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Topic(s)
Call for proposal
FP6-2002-NMP-1
See other projects for this call
Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
LONDON
United Kingdom