Referenced Items are not available for this document.
The Boltzmann machine model is used in CT image reconstruction from four projections. The system is based on Boltzmann simulated annealing for adaptation of pixel values. As the temperature is decreased, the gray level of images is increased exponentially to 256. Satisfactory agreement between the original and reconstructed images was obtained in simulation, and the results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the neural network method is more effective than ART when the number of projection directions is very limited
Published in:
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
(Volume:2
)
Date of Conference: 27-23 May 1997
- Page(s):
- 327 - 330 vol.2
- Meeting Date :
- 21 May 1997-23 May 1997
- Print ISBN:
- 0-7803-3755-7
- INSPEC Accession Number:
- 5704755
- Conference Location :
- Adelaide, SA
- Digital Object Identifier :
- 10.1109/KES.1997.619405
- Product Type:
- Conference Publications
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