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Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging.
- Source :
-
Physics in Medicine & Biology . 1/7/2022, Vol. 67 Issue 1, p1-14. 14p. - Publication Year :
- 2022
-
Abstract
- Multi-energy spectral CT has a broader range of applications with the recent development of photon-counting detectors. However, the photons counted in each energy bin decrease when the number of energy bins increases, which causes a higher statistical noise level of the CT image. In this work, we propose a novel iterative dynamic dual-energy CT algorithm to reduce the statistical noise. In the proposed algorithm, the multi-energy projections are estimated from the dynamic dual-energy CT data during the iterative process. The proposed algorithm is verified on sufficient numerical simulations and a laboratory two-energy-threshold PCD system. By applying the same reconstruction algorithm, the dynamic dual-energy CT’s final reconstruction results have a much lower statistical noise level than the conventional multi-energy CT. Moreover, based on the analysis of the simulation results, we explain why the dynamic dual-energy CT has a lower statistical noise level than the conventional multi-energy CT. The underlying idea is to sample sparse in the energy dimension, which can be done because there is a high correlation between projection data of different energy bins. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00319155
- Volume :
- 67
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Physics in Medicine & Biology
- Publication Type :
- Academic Journal
- Accession number :
- 154720905
- Full Text :
- https://doi.org/10.1088/1361-6560/ac459d