Paper
1 June 1992 PET reconstruction using sensor fusion techniques: neural network approach
Raj S. Acharya, Carlos Hinojosa
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raj S. Acharya and Carlos Hinojosa "PET reconstruction using sensor fusion techniques: neural network approach", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59427
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Cited by 1 scholarly publication.
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KEYWORDS
Neurons

Positron emission tomography

Image fusion

Neural networks

Sensor fusion

Computed tomography

Machine learning

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