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Details of Grant 

EPSRC Reference: GR/K45340/01
Title: QUANTITATIVE ANALYSIS OF 3D BIOMEDICAL IMAGES
Principal Investigator: Taylor, Professor CJ
Other Investigators:
Graham, Dr J
Researcher Co-Investigators:
Project Partners:
AstraZeneca IBM UK Ltd
Department: Imaging Science & Biomedical Eng
Organisation: Victoria University of Manchester, The
Scheme: Standard Research (Pre-FEC)
Starts: 03 April 1995 Ends: 02 January 1999 Value (£): 303,237
EPSRC Research Topic Classifications:
Image & Vision Computing
EPSRC Industrial Sector Classifications:
Pharmaceuticals and Biotechnology Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
Clinical medical and biomedical research have always relied heavily on images. Over the past decade, imaging has become more important then ever due to dramatic developments in the types of information which can be visualised. Three dimensional imaging methods are also becoming increasingly routine. Images are used in various ways by one of the most common requirements is for quantitative analysis. Whether the purpose of an imaging study is to inform an objective clinical decision or to provide experimental data capable of rigorous statistical analysis, a numerical description, or end-point is often critical. A commercially important example is in the pharmaceutical industry, where state-of-the-art imaging methods are used in conjunction with quantitative image analysis to evaluate the efficacy of potential new drugs. Unfortunately, image analysis products have failed to keep pace with developments in imaging: current systems are generally inflexible, operator intensive in use and limited to 2D analysis. In collaboration with a major end-user, Zeneca Pharmaceuticals and a system supplier, IBM UK Laboratories, we propose to build on recent work in Active Shape Modelling to develop a general purpose system for quantitative biomedical image analysis. Although the basic technology already exists, significant issues will need to be addressed and substantial effort will be required in order to develop an integrated system suitable for routine end-user application.
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