Image reconstruction and identification of noise and instrumental artifacts using radon transform: a challenge for medical imaging techniques
D'Acunto M., Benassi A., Moroni D., Salvetti O.
Radon Transform Image Reconstruction Markov Chain Monte Carlo
Computed Tomography as well as Magnetic Resonance or Positron Electron Tomography are currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon Transform (RT). In this paper, an algorithm based on Markov chain Monte Carlo methods for reconstruction of 2D-3D structures is introduced, including correction of noise and of some instrumental artifacts directly from the RT sinograms. The results can be applied to any RT-based medical imaging technologies.
Source: 7th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, pp. 38–47, Berlin, Germany, 13-20 July 2012
Publisher: Ibai publishing (Institute of Computer Vision and applied Computer Sciences), Leipzig, DEU
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@inproceedings{oai:it.cnr:prodotti:218148,
title = {Image reconstruction and identification of noise and instrumental artifacts using radon transform: a challenge for medical imaging techniques},
author = {D'Acunto M. and Benassi A. and Moroni D. and Salvetti O.},
publisher = {Ibai publishing (Institute of Computer Vision and applied Computer Sciences), Leipzig, DEU},
booktitle = {7th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, pp. 38–47, Berlin, Germany, 13-20 July 2012},
year = {2012}
}
0000-0002-5175-5126