Name
Abstract | ||
|---|---|---|
We present an iterative tomographic reconstruction procedure suitable for processing of real projection datasets. This method is based on a polychromatic sinogram formation model that takes the beam hardening effect into account and thus reduces the incidence of streak artifacts due to metal inserts in the imaged body. It involves an optimized implementation and a novel measurement uncertainty model aimed at improving the conditioning of the problem and reducing the runtime of each iteration.Reconstruction of realistic-size images was performed on both synthetic and actual projection data. Comparison with results provided by existing techniques indicates that a significant reduction of the runtime is achieved, with no loss in image quality. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541281 | 2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4 |
Keywords | Field | DocType |
computed tomography, metal artifacts, penalized likelihood, real data, statistical modeling | Iterative reconstruction,Metal Artifact,Computer vision,Tomographic reconstruction,Iterative method,Computer science,Streak,Measurement uncertainty,Image quality,Artificial intelligence,Statistical model | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.37 |
References | Authors | |
5 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoit Hamelin | 1 | 3 | 1.43 |
| Yves Goussard | 2 | 39 | 7.98 |
| David Gendron | 3 | 1 | 0.37 |
| Jean-Pierre Dussault | 4 | 75 | 14.40 |
| Guy Cloutier | 5 | 1 | 0.37 |
| G Beaudoin | 6 | 117 | 17.53 |
| Gilles Soulez | 7 | 157 | 18.24 |