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Intelligent Imaging Sensors for Industry, Health and Security - I-ImaS

Intelligent Imaging Sensors for Industry, Health and Security - I-ImaS

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.

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Coordinator

UNIVERSITY COLLEGE LONDON

Address

Gower Street
London

United Kingdom

Administrative Contact

Robert SPELLER (Prof.)

Participants (8)

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ACADEMISCH CENTRUM TANDHEELKUNDE AMSTERDAM

Netherlands

ANCO S.A. AGENCIES, COMMERCE AND INDUSTRY

Greece

COUNCIL FOR THE CENTRAL LABORATORY OF THE RESEARCH COUNCILS

United Kingdom

RESEARCH ACADEMIC COMPUTER TECHNOLOGY INSTITUTE

Greece

IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

United Kingdom

SINTEF - STIFTELSEN FOR INDUSTRIELL OG TEKNISK FORSKNING VED NORGES TEKNISKE HOEGSKOLE AS

Norway

UNIVERSITY OF IOANNINA

Greece

UNIVERSITA DEGLI STUDI DI TRIESTE

Italy

Project information

Grant agreement ID: 505593

  • Start date

    1 March 2004

  • End date

    31 May 2007

Funded under:

FP6-NMP

  • Overall budget:

    € 3 170 690

  • EU contribution

    € 2 520 020

Coordinated by:

UNIVERSITY COLLEGE LONDON

United Kingdom