Fast Correction of Analytical Reconstructions in Sparse View X-ray Computed Tomography; Progress In Electromagnetics Research Symposium - Spring (PIERS)
| Parent link: | Progress In Electromagnetics Research Symposium - Spring (PIERS).— 2017.— [P. 1101-1108] |
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| Autor Principal: | |
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| Outros autores: | , |
| Summary: | Title screen With the availability of more powerful computers, iterative reconstruction algorithms are the subject of an ongoing work in the design of more efficient reconstruction algorithms for X-ray computed tomography. In this work, we show how two analytical reconstruction algorithms can be improved by correcting the corresponding reconstructions using a randomized iterative reconstruction algorithm. The combined analytical reconstruction followed by randomized iterative reconstruction can also be viewed as a reconstruction algorithm which, in the experiments we have conducted, uses up to 35% less projection angles as compared to the analytical reconstruction algorithms and produces the same results in terms of quality of reconstruction, without increasing the execution time significantly. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | inglés |
| Publicado: |
2017
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| Acceso en liña: | https://doi.org/10.1109/PIERS.2017.8261911 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664822 |
| Summary: | Title screen With the availability of more powerful computers, iterative reconstruction algorithms are the subject of an ongoing work in the design of more efficient reconstruction algorithms for X-ray computed tomography. In this work, we show how two analytical reconstruction algorithms can be improved by correcting the corresponding reconstructions using a randomized iterative reconstruction algorithm. The combined analytical reconstruction followed by randomized iterative reconstruction can also be viewed as a reconstruction algorithm which, in the experiments we have conducted, uses up to 35% less projection angles as compared to the analytical reconstruction algorithms and produces the same results in terms of quality of reconstruction, without increasing the execution time significantly. Режим доступа: по договору с организацией-держателем ресурса |
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| DOI: | 10.1109/PIERS.2017.8261911 |