Projects


Clinical technologies projects
UK   MIAKT
Medical Imaging and Advanced Knowledge Technologies
keywords main objectives
knowledge management, knowledge technologies, medical images and signals, Web services, ontologies, semantic web, GRID, OWL

 Development of a technology that integrates knowledge technologies with image and signal analysis and interpretation services to provide clinical decision support.

clinical domains
Breast cancer, triple assessment in symptomatic focal breast disease, medical imaging, image annotation
description
MIAKT MIAKT is a sub-project of two UK Interdisciplinary Research Collaborations (IRCs): AKT (Advanced Knowledge Technologies) and MIAS (Medical Imaging and Signals). AKT is concenrned with "knowledge technologies for the management and synthesis of appropriate information and knowledge content"; MIAS focuses on "the intelligent analysis and handling of medical data".

The aim of the MIAKT project is to apply the capabilities of AKT and MIAS to collaborative medical problem solving using knowledge services provided via the UK e-Science Grid infrastructure.

references
S. Dasmahapatra, D. Dupplaw, B. Hu, H. Lewis, P. Lewis., and N. Shadbolt Facilitating multi-disciplinary knowledge-based support for breast cancer screening. Special issue of the International Journal of Healthcare Technology and Management.

[U. Southampton]   []

" In order to increase the accuracy of breast cancer screening, the diagnostics of imaging modalities (X-ray, ultrasound or magnetic resonance(MR)) is assessed alongside results of histopathological or cytopathological studies as well as clinical information about a patient. This procedure is called "triple assessment" in the UK. We have undertaken a project to develop a multiple-ontology based medical image-annotation and reasoning system to support this procedure. Our system integrates image-annotation tools for drawing, image analysis and feature extraction, with ontologies compliant with the proposed language standard, namely OWL. This integration is carried out by the mapping between images and instances in the ontologies. In this paper, we outline the ambit of the project in further detail and discuss some of the architecture and design issues that we have resolved in order to make our system modular and semantic web-enabled. The resulting knowledge base should not only support medical practitioners in the triple assessment process but also provide a resource from which personalised patient information could be delivered via the web direct to patient or carer. Finally, we describe the progress that we have made thus far on the implementation of this system. "
start date end date location support
September 2002
 September 2004 UK UK EPSRC - Engineering and Physical Sciences Research Council
contact links

Professor Nigel Shadbolt
Department of Electronics and Computer Science
University of Southampton
Highfield, Southampton
SO17 1BJ   United Kingdom

Professor David Hawkes
Professor of Computational Imaging Science
Computational Imaging Science Group
Radiological Sciences
5th Floor, Thomas Guy House
Guy's Hospital
London SE1 9RT
UK

 bullet  MIAKT project  bullet  AKT project - Advanced Knowledge Technologies  bullet  MIAS (Medical Imaging and Signals) project  bullet  UK National Grid Service
acknowledgements
Bo Hu, School of Electronics and Computer Science, Southampton University
Entry in directory: January 13 2004
Last main update: January 13 2004

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