Limited-view binary tomography reconstruction assisted by shape centroid
In this paper, the binary tomographic reconstruction problem for very limited projection data availability is considered. Being this inverse problem highly ill-posed, we propose a new reconstruction model that uses a shape centroid-based regularization term, i.e., we assume that the center of gravit...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
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2022
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| Sorozat: | VISUAL COMPUTER
38 No. 2 |
| Tárgyszavak: | |
| doi: | 10.1007/s00371-020-02044-8 |
| mtmt: | 31879073 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/36415 |
| Tartalmi kivonat: | In this paper, the binary tomographic reconstruction problem for very limited projection data availability is considered. Being this inverse problem highly ill-posed, we propose a new reconstruction model that uses a shape centroid-based regularization term, i.e., we assume that the center of gravity of the object of interest is known, at least approximately, in advance. Motivation for this regularization is found in the close connection between the projection data and the object centroid, as we will show. Experimental evaluation underpins that reasonable results can be obtained from practically minimal amount of projection data, gathered from just one projection direction. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature. |
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| Terjedelem/Fizikai jellemzők: | 695-705 |
| ISSN: | 0178-2789 |