Acta Optica Sinica, Volume. 40, Issue 14, 1411001(2020)
An Acceleration Algorithm for Dual-Spectral Computed Tomography Reconstruction
Fig. 1. Different spectra and corresponding projections. (a) Spectra; (b) contour lines of projection equations with Fi=4,Gi=1; (c) projections versus Fi; (d) projections versus Gi
Fig. 3. Trajectory of iterative solutions and the curves of the relative errors with different bases. (a) Trajectory curves of 200 iteration solutions; (b) curves of the relative errors with respect to the number of iterations
Fig. 4. Simulated phantom and X-ray spectra used in experiments. (a) Dental phantom; (b) spectra
Fig. 5. Reconstructed images after 6 iterations with the E-ART method and the proposed AE-ART method
Fig. 6. Reconstructed images after 15 iterations with the E-ART method and the proposed AE-ART method
Fig. 7. Profiles of the reconstructed images in
Fig. 8. NMAD of the reconstructed images with the E-ART method and the proposed AE-ART method. (a) Results of water images; (b) results of bone images; (c) results of monochromatic images
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Ting Luo, Yunsong Zhao. An Acceleration Algorithm for Dual-Spectral Computed Tomography Reconstruction[J]. Acta Optica Sinica, 2020, 40(14): 1411001
Category: Imaging Systems
Received: Mar. 17, 2020
Accepted: Apr. 13, 2020
Published Online: Jul. 23, 2020
The Author Email: Zhao Yunsong (zhao_yunsong@cnu.edu.cn)