Long-term Serial Multi-contrast Quantitative MR Imaging and Volumetry

Project Information

LONGSERIMULTIQMRIVOL

Grant agreement ID: 11628

Project closed

Start date 1 February 2005

End date 31 January 2007

Funded under

• Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006

Total cost No data

EU contribution € 158 479,00

Coordinated by

INSTITUTE OF NEUROLOGY, UNIVERSITY COLLEGE OF LONDON
United Kingdom

Objective

Magnetic Resonance Imaging (MRI) is an essential tool for both clinical diagnosis and cognitive research. Nevertheless, it is not yet fully exploited, because a lot of information is not available to the clinician. In fact, data are acquired on various sca nners, with various scanning properties and at various times, and a full analysis of these data requires to put them all in the same referential. This project addresses the problem of registering these data acquired with various scanning characteristics, a t several time steps and on different scanners, for longitudinal analysis and quantitative MRI. Thus, longitudinal analysis gives information on deforming processes of brain structures, that can occur in several neurological disorders. Quantitative MRI giv es information on volumes and tissue characteristics, to study pathological evolution compared to normal one, and improve diagnosis quality.Finally to undertake long term serial studies, an analysis of true changes when comparing scans acquired with diffe rent scanners will be considered. This will be of major importance due to the apparition of new scanners of higher magnetic fields, that are characterised by different geometrical distortions and intensity distributions with respect to traditional scanners .Various registration methods will thus have to be considered, combined with automatic segmentation algorithms, allowing to obtain quantitative information on volume changes and on tissue changes in longitudinal analysis, with data acquired with various sc anners.

Fields of science

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.

• medical and health sciences › basic medicine › neurology › epilepsy
• social sciences › sociology › industrial relations › automation
• natural sciences › computer and information sciences › software › software development
• medical and health sciences › basic medicine › neurology › dementia
• engineering and technology › medical engineering › diagnostic imaging › magnetic resonance imaging

Keywords

• Longitudinal study
• Magnetic Resonance Imaging
• Registration

Programme(s)

• FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006

Topic(s)

• MOBILITY-2.1 - Marie Curie Intra-European Fellowships (EIF)

Call for proposal

FP6-2002-MOBILITY-5
See other projects for this call

Funding Scheme

EIF - Marie Curie actions-Intra-European Fellowships

Coordinator

INSTITUTE OF NEUROLOGY, UNIVERSITY COLLEGE OF LONDON

• EU contribution: No data
• Address: Queen Square ; LONDON ; United Kingdom
• Total cost: No data