Application of neural networks to diagnosis from single-photon emission tomography images of the human brain

Steven J. Sheppard; Evor L. Hines; David Taylor; John Barham

doi:10.1117/12.152562

2 September 1993 Application of neural networks to diagnosis from single-photon emission tomography images of the human brain

Steven J. Sheppard, Evor L. Hines, David Taylor, John Barham

Author Affiliations +

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152562
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Steven J. Sheppard, Evor L. Hines, David Taylor, and John Barham "Application of neural networks to diagnosis from single-photon emission tomography images of the human brain", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152562

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