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. 2. Contour lines of projection equations with diferent weights
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
|
Get Citation
Copy Citation Text
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)