Name
Abstract | ||
|---|---|---|
A polychromatic reconstruction algorithm that accounts for the exact physical model of transmission tomography is presented. Based on the equivalence between the Poisson log-likelihood function and the I-divergence, we derived a fast convergencing algorithm with a pixel-wise updating scheme, which is an extended version of the AM-ICD algorithm. The objective function in each iteration consists of approximated I-divergence and the generalized Gaussian Markov random field (GGMRF) model based regularization term for preventing diverging due to additive noise and the approximation of I-divergence. In a simulation study, we observed that the beam hardening art if act was significantly reduced in the extended AM-ICD algorithm with the use of areas on able number of iterations. In addition, the proposed algorithm also showed reliable reconstruction results even for low dose conditions. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6115692 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
Keywords | Field | DocType |
Polychromatic Reconstruction, Beam Hardening Correction, Dual Energy CT | Iterative reconstruction,Approximation algorithm,Computer vision,Markov process,Computer science,Tomography,Regularization (mathematics),Reconstruction algorithm,Gaussian process,Artificial intelligence,Poisson distribution | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwang Eun Jang | 1 | 85 | 6.57 |
| Dong-Goo Kang | 2 | 54 | 6.08 |
| Seokmin Han | 3 | 3 | 1.82 |
| Kangeui Lee | 4 | 0 | 1.01 |
| Jong-Ha Lee | 5 | 62 | 6.51 |
| Younghun Sung | 6 | 9 | 3.05 |