Name
Abstract | ||
|---|---|---|
In this paper, we generalize the widely used simultaneous block iterative reconstruction algorithm and show that it converges, at a linear rate, to a weighted least-squares and weighted minimum-norm reconstruction. Our theoretical result provides a much simpler proof of the convergence properties obtained by Jiang and Wang and covers a much more general class of algorithms. The frequency domain iterative reconstruction algorithm is then introduced as a special application of our theory. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIP.2006.887725 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
theoretical result,weighted minimum-norm reconstruction,tomography,iterative reconstruction algorithms,convergence property,simpler proof,image reconstruction,least squares approximations,weighted least-squares,frequency domain iterative reconstruction,biomedical imaging,general class,frequency domain iterative algorithm,signal reconstruction,simultaneous block iterative reconstruction,generalized simultaneous iterative reconstruction,special application,iterative methods,medical image processing,linear rate,convergence properties,weighted least squares,frequency domain,iteration method,iterative reconstruction | Journal | 16 |
Issue | ISSN | Citations |
1 | 1057-7149 | 17 |
PageRank | References | Authors |
0.99 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiong Wang | 1 | 37 | 2.33 |
| Yibin Zheng | 2 | 38 | 15.13 |