A new approach to image reconstruction from projections using a recurrent neural network

Robert Cierniak

International Journal of Applied Mathematics and Computer Science (2008)

  • Volume: 18, Issue: 2, page 147-157
  • ISSN: 1641-876X

Abstract

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A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quality.

How to cite

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Robert Cierniak. "A new approach to image reconstruction from projections using a recurrent neural network." International Journal of Applied Mathematics and Computer Science 18.2 (2008): 147-157. <http://eudml.org/doc/207873>.

@article{RobertCierniak2008,
abstract = {A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quality.},
author = {Robert Cierniak},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {image reconstruction from projections; neural networks; recurrent net},
language = {eng},
number = {2},
pages = {147-157},
title = {A new approach to image reconstruction from projections using a recurrent neural network},
url = {http://eudml.org/doc/207873},
volume = {18},
year = {2008},
}

TY - JOUR
AU - Robert Cierniak
TI - A new approach to image reconstruction from projections using a recurrent neural network
JO - International Journal of Applied Mathematics and Computer Science
PY - 2008
VL - 18
IS - 2
SP - 147
EP - 157
AB - A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quality.
LA - eng
KW - image reconstruction from projections; neural networks; recurrent net
UR - http://eudml.org/doc/207873
ER -

References

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