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Details of Grant 

EPSRC Reference: GR/L51270/01
Title: COMPUTER-ASSISTED DECISION-MAKING IN RADIOLOGY: AN INTEGRATED WORKSTATION
Principal Investigator: Taylor, Professor P
Other Investigators:
Fox, Professor JP Pokropek, Professor T
Researcher Co-Investigators:
Project Partners:
Pre Nexus Migration Whittington Hospital NHS Trust
Department: Centre for Microbiology
Organisation: UCL
Scheme: Standard Research (Pre-FEC)
Starts: 01 June 1998 Ends: 30 November 2001 Value (£): 239,974
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The aim of this research is to develop a generic model for enhanced imaging workstations which will allow clinicians to make optimal use of imaging information in making diagnoses, planning investigations and organising treatment plans. It brings together work in computer aids for protocol management, knowledge-based decision support and medical image processing, to develop an integrated workstation providing clinicians with the full range of appropriate data. The project builds on a pilot study carried out by the principal investigator using an approach to clinical decision support systems developed at the ICRF. The study extended the approach to incorporate image processing and showed that it could significantly improve the performance of trained film-readers interpreting mammograms.We have identified four areas where further research is required to establish general principles for the design of systems to support radiology: developing a systematic model for representing radiological knowledge, implementing a compositional approach to image processing, combining symbolic reasoning and image data, managing uncertainty associated with image data. The project brings together a team with the necessary expertise in clinical decision support, medical imaging and clinical requirements, to produce a general model for a radiology workstation and develop a demonstrator application for mammography.
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