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Details of Grant 

EPSRC Reference: GR/L32965/01
Title: AUTOFOCUS ALGORITHMS FOR ARTEFACT REDUCTION IN MEDICAL IMAGING
Principal Investigator: Hill, Professor DL
Other Investigators:
Keevil, Mr S Hawkes, Professor D Keevil, Professor S
Researcher Co-Investigators:
Project Partners:
QinetiQ
Department: Radiological Sciences
Organisation: United Medical & Dental Schools
Scheme: Standard Research (Pre-FEC)
Starts: 27 January 1997 Ends: 26 January 2000 Value (£): 200,314
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors Aerospace, Defence and Marine
Related Grants:
Panel History:  
Summary on Grant Application Form
This project aims to develop computer algorithms for the removal of blurring and ghosting in medical images. The principal application is to correct Magnetic Resonance (MR) images for the effects of patient motion. Currently, despite restraint, motion causes a significant number of images to be degraded and some patients, particularly children, have to be given a general anaesthetic to keep them still. Administering anaesthetics is both expensive and carries a risk to the patient. We will develop algorithms that automatically assess image quality, or focus, and estimate corrections that need to be applied to the scanner data to improve the images. The best way of assessing focus will be researched, and we will apply the technique both to the brain, and to local image regions such as the heart. One type of MR scan has great potential in managing stroke patients, but is seldom used because it is so sensitive to motion. We aim to demonstrate clinically that our algorithm can address this problem. Our methods will also be applied to other imaging modalities such as X-ray CT and PET. Furthermore, we plan to investigate a novel MR imaging technique where motion itself would be used to perform the imaging.
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