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Facilitating multi-disciplinary, knowledge-based support for breast cancer screening

Facilitating multi-disciplinary, knowledge-based support for breast cancer screening
Facilitating multi-disciplinary, knowledge-based support for breast cancer screening
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 care provider. Finally, we describe the progress that we have made thus far on the implementation of this system.
triple assessment, breast cancer screening, ontologies, medical image annotation, virtual primary healthcare, healthcare technology, imaging modalities, x-ray, ultrasound, magnetic resonance, patient information, diagnostics, histopathological studies, cytopathological studies, image analysis, feature extraction, semantic web, knowledge based systems, kbs, e-healthcare, electronic healthcare
1368-2156
403-420
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Dupplaw, David
f4d583de-bf0d-4bf9-924c-d4bf6fa2a3a5
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Lewis, Hugh
66596080-89e6-4b2c-bf0f-4be0b65ec526
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Dorgham, M.A.
f99916b3-5d81-499c-911d-e3b6c1545cbd
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Dupplaw, David
f4d583de-bf0d-4bf9-924c-d4bf6fa2a3a5
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Lewis, Hugh
66596080-89e6-4b2c-bf0f-4be0b65ec526
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Dorgham, M.A.
f99916b3-5d81-499c-911d-e3b6c1545cbd

Dasmahapatra, Srinandan, Dupplaw, David, Hu, Bo, Lewis, Hugh, Lewis, Paul and Shadbolt, Nigel , Dorgham, M.A. (ed.) (2005) Facilitating multi-disciplinary, knowledge-based support for breast cancer screening. International Journal of Healthcare Technology and Management, 7 (5), 403-420. (doi:10.1504/IJHTM.2006.008428).

Record type: Article

Abstract

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 care provider. Finally, we describe the progress that we have made thus far on the implementation of this system.

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e-pub ahead of print date: 21 December 2005
Keywords: triple assessment, breast cancer screening, ontologies, medical image annotation, virtual primary healthcare, healthcare technology, imaging modalities, x-ray, ultrasound, magnetic resonance, patient information, diagnostics, histopathological studies, cytopathological studies, image analysis, feature extraction, semantic web, knowledge based systems, kbs, e-healthcare, electronic healthcare
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 258955
URI: http://eprints.soton.ac.uk/id/eprint/258955
ISSN: 1368-2156
PURE UUID: 5bd130b4-8598-49af-ab2a-1f86c823df03

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Date deposited: 03 Mar 2004
Last modified: 14 Mar 2024 06:16

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Contributors

Author: Srinandan Dasmahapatra
Author: David Dupplaw
Author: Bo Hu
Author: Hugh Lewis
Author: Paul Lewis
Author: Nigel Shadbolt
Editor: M.A. Dorgham

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