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An architecture for the automatic derivation of imaging equations for the visualisation of carotid arterial plaques

Burley, M., Bechkoum, K. and Pearce, G. (2008) An architecture for the automatic derivation of imaging equations for the visualisation of carotid arterial plaques. In: Al-dabass, D. (ed.) Al-dabass, D 2008 Tenth International Conference on Computer Modeling and Simulation. Cambridge: IEEE. 9780769531144. pp. 112-116.

Item Type: Conference Proceedings
Abstract: We present an architecture for the automated derivation of physical laws with specific reference to the generation of imaging equations for the analysis of carotid arterial plaques. Our computational approach is based upon an examination of the physical model in terms of information theory; the result, combined with an alternative notation for representing mathematical expressions is intended to facilitate the development of a system which will operate with maximum autonomy in deriving equations to map from data between multivariate domains
Uncontrolled Keywords: arterial plaques, information theory, modelling, numerical methods
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501 Applied optics. Photonics > TA1634 Computer vision. Image processing
Creators: Burley, M, Bechkoum, Kamal and Pearce, G
Editors: Al-dabass, D
Publisher: IEEE
Faculties, Divisions and Institutes: University Faculties, Divisions and Research Centres - OLD > School of Science and Technology (2010-2016)
Date: 2008
Date Type: Publication
Page Range: pp. 112-116
Title of Book: 2008 Tenth International Conference on Computer Modeling and Simulation
Event Title: Institute of Electrical and Electronics Engineers (IEEE) 10th International Conference on Computer Modelling and Simulation
Event Dates: 01-03 April 2008
Place of Publication: Cambridge
Event Location: Cambridge
Event Type: Conference
Language: English
ISBN: 9780769531144
DOI: https://doi.org/10.1109/UKSIM.2008.79
Status: Published / Disseminated
URI: http://nectar.northampton.ac.uk/id/eprint/3245

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