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Proceedings Paper

Application of neural networks to diagnosis from single-photon emission tomography images of the human brain
Author(s): Steven J. Sheppard; Evor L. Hines; David Taylor; John Barham
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Paper Abstract

Single Photon Emission Tomography (SPET) brain images are used to invesügate medical conditions such as Alzheimers disease, carotid artery occlusion, transient ischaemic attack and Basso-spasm. This work concentrates on the results of training a series of Back Propagation Neural Networks to recognise the presence or absence of a Basso-spasm. Network topology variations, in particular tesselated networks are discussed as well as the effects of using Regions of Interest and cascaded networks. Images with simulated abnormalities, additional noise and slight rotational variations have been added to the training set in an attempt to improve generalization. Raw pixel data has been used as network input, results with Principal Component Analysis will be discussed in a future publication. We conclude that a neural network based system could be employed as a diagnostic support tool in the diagnosis of Basso-spasm from SPET images.

Paper Details

Date Published: 2 September 1993
PDF: 9 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152562
Show Author Affiliations
Steven J. Sheppard, Warwick Univ. (United Kingdom)
Evor L. Hines, Warwick Univ. (United Kingdom)
David Taylor, Walsgrave Hospital (United Kingdom)
John Barham, Walsgrave Hospital (United Kingdom)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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