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Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
- Source :
-
IEEE Transactions on Medical Imaging . Dec2017, Vol. 36 Issue 12, p2487-2498. 12p. - Publication Year :
- 2017
-
Abstract
- Computed tomography (CT) image recovery from low-mAs acquisitions without adequate treatment is always severely degraded due to a number of physical factors. In this paper, we formulate the low-dose CT sinogram preprocessing as a standard maximum a posteriori (MAP) estimation, which takes full consideration of the statistical properties of the two intrinsic noise sources in low-dose CT, i.e., the X-ray photon statistics and the electronic noise background. In addition, instead of using a general image prior as found in the traditional sinogram recovery models, we design a new prior formulation to more rationally encode the piecewise-linear configurations underlying a sinogram than previously used ones, like the TV prior term. As compared with the previous methods, especially the MAP-based ones, both the likelihood/loss and prior/regularization terms in the proposed model are ameliorated in a more accurate manner and better comply with the statistical essence of the generation mechanism of a practical sinogram. We further construct an efficient alternating direction method of multipliers algorithm to solve the proposed MAP framework. Experiments on simulated and real low-dose CT data demonstrate the superiority of the proposed method according to both visual inspection and comprehensive quantitative performance evaluation. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 02780062
- Volume :
- 36
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Medical Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 126527327
- Full Text :
- https://doi.org/10.1109/TMI.2017.2767290