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Proceedings Paper

PET reconstruction using sensor fusion techniques: neural network approach
Author(s): Raj S. Acharya; Carlos Hinojosa
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Paper Abstract

In this paper we propose a neural network approach to PET reconstruction using sensor fusion concepts. A simple method of image fusion is presented in the supervised learning mode of the network where the supervisor signal provides the image information to be integrated with the reconstructed PET image.

Paper Details

Date Published: 1 June 1992
PDF: 4 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59427
Show Author Affiliations
Raj S. Acharya, SUNY/Buffalo (United States)
Carlos Hinojosa, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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