| EPSRC Reference: |
GR/A01381/02 |
| Title: |
AF: CORRECTION OF MOTION ARTEFACTS IN MAGNETIC RESONANCE IMAGING |
| Principal Investigator: |
Atkinson, Dr D |
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| Department: |
Computer Science |
| Organisation: |
UCL |
| Scheme: |
Advanced Fellowship (Pre-FEC) |
| Starts: |
01 January 2005 |
Ends: |
31 October 2005 |
Value (£): |
67,441
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Summary on Grant Application Form |
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Magnetic resonance (MR) imaging is increasingly used in patient diagnosis because it produces images with good contrast between soft tissues and does not expose the patient to harmful X-rays. Patient motion due to respiration, heart beat or involuntary movements can cause image ghosting and blurring that can compromise the diagnosis of images from most parts of the body. If the motion problem can be reduced, then the incidence of clinically unusable scans, or the need to repeat scans could be substantially decreased. Cardiac patients may be assessed solely by MR and no longer need to undergo the risky procedure of arterial catheterisation.MR motion artefacts can be corrected if all components of motion are known throughout the whole time of the scan. Measuring all components is very difficult and estimating the motion from the data itself is time consuming and not always successful. This work will use knowledge about the image and compare that with the measured data. From this comparison, motion will be inferred in a fast and reliable way. The information required will be either previous scans of the patient (which could be years or milliseconds before the motion corrupted data), or, an atlas formed by averaging patient data sets.For 3D imaging of the coronary arteries, motion of the diaphragm with respiration can be measured but the heart does not move by the same amount. Algorithms will be developed to use the information about diaphragm position to infer the heart position. This should enable better retrospective compensation for 3D cardiac images.
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Potential use in non-academic contexts |
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| Description |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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